Publikationen

2024

  • Apfelbacher T, Koçman SE, Prokosch HU, Christoph J: A governance framework for the implementation and operation of AI applications in a university hospital. Digital health and informatics innovations for sustainable health care systems: Proceedings of MIE 2024. Hg. Mantas J, Hasman A, Demiris G, Saranto K, Marschollek M, Arvanitis ThN, Ognjanović, Benis A, Gallos P, Zoulias E, Andrikopoulou. Amsterdam: IOS Press, 2024. (Studies in health technology and informatics; 316): 776 – 780. https://ebooks.iospress.nl/doi/10.3233/SHTI240527.
  • Kapsner LA, Feisst M, Purbojo A, Prokosch HU, Ganslandt T, Dittrich S, Mang JM, Wällisch W: Using Machine learning and feature importance to identify risk factors for mortality in pediatric heart surgery. Diagnostics 14.2024: 2587. https://doi.org/10.3390/
  • Rödle W, Prokosch HU, Neumann E, Toni I, Haering-Zahn J, Neubertz A, Eberl S: Creating a medication therapy observational research database from an electronic medical record: Challenges and data curation. Applied clinical informatics 15.2024,1: 111-118.  DOI https://doi.org/10.1055/s-0043-1777741. https://www.thieme-connect.de/products/ejournals/abstract/10.1055/s-0043-1777741.
  • Zeiler M, Dietzel N, Kolominsky-Rabas PL, Graessel E, Prokosch HU: Evaluation of a digital dementia registry’s IT Architecture after a three-year period in practice: digiDEM Bayern. dHealth 2024: Proceedings of the 18th Health Informatics Meets Digital Health Conference. Hg. Hayn, D; Pfeifer, B; Schreier, G; Baumgartner, M. Leiden: IOS Pr., 2024. (Studies in health technology and informatics; 313: 43-48. doi: 10.3233/SHTI240010. PMID: 38682503.
  • Laininger L, Dietzel N, Grässel E, Prokosch HU, Kolominsky-Rabas P (2024) Impact of social network composition on cognitive decline: Digital Dementia Registry Bavaria (digiDEM Bayern). PLoSOne 19.2024,7: e0306447. https://doi.org/10.1371/journal.pone.0306447.

 

2023

 

 

2022

  • Ammer T, Schützenmeister A, Prokosch HU, Zierk J, Rank Chr M, Rauh M: RIbench: A proposed benchmark for the standardized evaluation of indirect methods for reference interval estimation. Clinical chemistry (ePub 20. Oktober 2022).  https://dx.doi.org/10.1093/clinchem/hvac142
  • Steichele K, Keefer A, Dietzel N, Grässel E, Prokosch HU, Kolominsky-Rabas P: The effects of exercise programs on cognition, activities of daily living, and neuropsychiatric symptoms in community-dwelling people with dementia-a systematic review. Alzheimer’s Research and Therapy, 14.2022,1: Art. 97. https://dx.doi.org/10.1186/s13195-022-01040-5
  • Sedlmayr B, Sedlmayr M, Kroll B, Prokosch HU, Gründner J, Schüttler C:
    Improving COVID-19 research of university hospitals in Germany: Formative usability evaluation of the CODEX feasibility portal.
    Applied clinical informatis 13.2022,2: 400-409.
  • Unberath P, Mahlmeister L, Reimer N, Busch H, Börries M, Christoph J:
    Searching of clinical trials made easier in cBioPortal using patients‘ cenetic and clinical profiles.
    Applied clinical informatics 13.2022,2: 363-369.
  • Schönthaler M, Fichtner UA, Böker M, Zöller D, Binder H, Prokosch HU, Praus F, Walther T, Glienke M, Horki P, Gratzke C, Farin-Glattacker E:
    A nationwide registry for recurrent urolithiasis in the upper urinary tract – The RECUR study protocol.
    BMC health services research 22.2022,1: 1060. doi: 10.1186/s12913-022-08375-7.
  • Kim HE, Cosa-Linan A, Santhanam N, Jannesari M, Maros ME, Ganslandt T:
    Transfer learning for medical image classification: A literature review.
    BMC medical imaging 22.2022,1: 69. doi: 10.1186/s12880-022-00793-7.
  • Bialke M, Geidel L, Hampf C, Blumentritt A, Penndorf P, Schuldt R, Moser FM, Lang S, Werner P, Stäubert S, Hund H, Albashiti F, Gührer J, Prokosch HU, Bahls T, Hoffmann W:
    A FHIR has been lit on gICS: facilitating the standardised exchange of informed consent in a large network of university medicine.
    BMC medical informatics and decision making 22.2022,1: 335. doi: 10.1186/s12911-022-02081-4.
  • Mang JM, Seuchter SA, Gulden C, Schild S, Kraska D, Prokosch HU, Kapsner LA:
    DQAgui: a graphical user interface for the MIRACUM data quality assessment tool.
    BMC medical informatics and decision making 22.2022,1: 213. doi: 10.1186/s12911-022-01961-z.
  • Kim HE, Maros ME, Siegel F, Ganslandt T:
    Rapid convolutional neural networks for gram-stained image classification at inference time on mobile devices: Empirical study from transfer learning to optimization.
    Biomedicines 10.2022,11: 2808. doi: 10.3390/biomedicines10112808.
  • Amr A, Hinderer M, Griebel L, Deuber D, Egger C, Sedaghat-Hamedani F, Kayvanpour E, Huhn D, Haas J, Frese K, Schweig M, Marnau N, Krämer A, Durand C, Battke F, Prokosch HU, Backes M, Keller A, Schröder D, Katus HA, Frey N, Meder B:
    Controlling my genome with my smartphone: first clinical experiences of the PROMISE system.
    Clinical research in cardiology 111.2022,6: 638-650.
  • Karl-Schöller F, Kunz M, Kreß L, Held M, Egenolf N, Wiesner A, Dandekar T, Sommer C, Üçeyler:
    A translational study: Involvement of miR-21-5p in development and maintenance of neuropathic pain via immune-related targets CCL5 and YWHAE.
    Experimental neurology 347.2022: 113915. doi: 10.1016/j.expneurol.2021.113915. Epub 2021 Nov 7.
  • Scheer J, Volkert A, Brich N, Weinert L, Santhanam N, Krone M, Ganslandt T, Boeker M, Nagel T:
    Visualization techniques of time-oriented data for the comparison of single patients with multiple patients or cohorts: Scoping review.
    Journal of medical internet reserach 24.2022,10: e38041. doi: 10.2196/38041.
  • Raupach T, Held J, Prokosch HU, Rascher W, Zierk J:
    Corrigendum to: „Resistance to antibacterial therapy in pediatric febrile urinary tract infectionsda single-center analysis“ [Journal of pediatric urology 16.2020: 71-79].
    Journal of pediatric urology 18.2022,1: 107. doi: 10.1016/j.jpurol.2021.11.021.
  • Rosenau L, Majeed RW, Ingenerf J, Kiel A, Kroll B, Köhler T, Prokosch HU, Gründner J:
    Generation of a fast healthcare interoperability resources (FHIR)-based ontology for federated feasibility queries in the context of COVID-19: Feasibility study.
    Journal of medical internet research medical informatics 4.2022,10: e35789. doi: 10.2196/35789.
  • Fitzer K, Häuslschmid R, Blasini R, Altun FB, Hampf C, Freiesleben S, Macho P, Prokosch HU, Gulden C:
    Patient recruitment system for clinical trials: Mixed methods study about requirements at ten university hospitals.
    Journal of medical internet research medical informatics 10.2022,4: e28696. doi: 10.2196/28696.
  • Gründner J, Deppenwiese N, Folz M, Köhler T, Kroll B, Prokosch HU, Rosenau L, Rühle M, Scheidl MA, Schüttler C, Sedlmayr B, Twrdik A, Kiel A, Majeed RW:
    The architecture of a feasibility query portal for distributed COVID-19 fast healthcare interoperability resources (FHIR) patient data repositories: design and implementation study.
    Journal of medical internet research medical informatics 10.2022,5: e36709. doi: 10.2196/36709.
  • Rauschenberg C, Hirjak D, Ganslandt T, Schulte-Strathaus JCC, Schick A, Meyer-Lindenberg A, Reininghaus U:
    Digitale Versorgungsformen zur Personalisierung der stationsäquivalenten Behandlung.
    Nervenarzt 93.2022,3: 279-287.
  • Zahn J, Eberl S, Rödle W, Rascher W, Neubert A, Toni I:
    Metamizole Use in Children: Analysis of Drug Utilisation and Adverse Drug Reactions at a German University Hospital between 2015 and 2020.
    Paediatric drugs 24.2022,1: 45-56.
  • Koll CEM, Hopff SM, Meurers T, Lee CH, Kohls M, Stellbrink C, Thibeault C, Reinke L, Steinbrecher S, Schreiber S, Mitrov L, Frank S, Miljukov O, Erber J, Hellmuth JC, Reese JP, Steinbeis F, Bahmer T, Hagen M, Meybohm P, Hansch S, Vadász I, Krist L, Jiru-Hillmann S, Prasser F, Vehreschild JJ, NAPKON Study Group:
    Statistical biases due to anonymization evaluated in an open clinical dataset from COVID-19 patients.
    Scientific data 9.2022,1: 776. doi: 10.1038/s41597-022-01669-9.
  • Medenwald D, Brunner T, Christiansen H, Kisser U, Mansoorian S, Vordermark D, Prokosch HU, Seuchter SA, Kapsner LA, our MII research group:
    Shift of radiotherapy use during the first wave of the COVID-19 pandemic? An analysis of German inpatient data.
    Strahlentherapie und Onkolologie 198.2022,4: 334-345
  • Scheible R, Caliskan D, Fischer P, Thomczyk F, Zabka S, Schneider H, Boeker M, Schulz S, Prokosch HU, Gulden C:
    AHD2FHIR: A tool for mapping of natural language annotations to fast healthcare interoperability resources – a technical case report.
    MEDINFO 2021: One world, one health – global partnership for eigital innovation: Proceedings of the 18th World Congress on Medical and Health Informatics. Hg. Otero P, Scott Ph, Martin SZ, Huesing E. Amsterdam: IOS Pr, 2022. (Studies in health technology and informatics; 290): 32-36.
  • Prokosch HU, Baber R, Bollmann P, Gebhardt M, Gruendner J, Hummel M:
    Aligning biobanks and data integration centers efficiently (ABIDE_MI).
    Healthcare of the Future 2022: Digital health – from vision to best practice! Hg. Bürkle T, Denecke K, Holm J, Sariyar M, Lehmann M. Amsterdam: IOS Pr, 2022. (Studies in health technology and informatics; 292): 37-42.
  • Güngör B, Deppenwiese N, Mang JM, Toddenroth D:
    Analysis of the representation of frequent clinical attributes in the Unified Medical Language system.
    pHealth 2022: Proceedings of the 19th International Conference on Wearable Micro and Nano Technologies for Personalized Health – 8–10 November 2022 Oslo, Norway. Hg. Blobel B. Yang B, Giacomini M. Amsterdam: IOS Pr, 2022. (Studies in health technology and informatics; 299).: 217-222.
  • Holzner D, Apfelbacher T, Rödle W, Schüttler C, Prokosch HU, Mikolajczyk R, Negash S, Kartschmit N, Manuilova I, Buch C, Gundlack J, Christoph J:
    Attitudes and acceptance towards artificial intelligence in medical care.
    Challenges of trustable AI and added-value on health: Proceedings of MIE 2022. Hg. Séroussi B, Weber P, Dhombres F, Grouin C, Liebe JD, Pelayo S, Pinna A, Rance B, Sacchi L, Ugon A, Benis A, Gallos P. Amsterdam: IOS Pr, 2022. (Studies in health technology and informatics; 294): 68-72.
  • Vass A, Reinecke I, Böker M, Prokosch HU, Gulden C:
    Availability of structured data elements in electronic health records for supporting patient recruitment in clinical trials.
    MEDINFO 2021: One world, one health – global partnership for eigital innovation: Proceedings of the 18th World Congress on Medical and Health Informatics. Hg. Otero P, Scott Ph, Martin SZ, Huesing E. Amsterdam: IOS Pr, 2022. (Studies in Health Technology and Informatics; 290): 130-134.
  • Leb I, Magnin S, Boeker M, Prokosch HU, Ammenwerth E, Glöggler M:
    Classification of patient portals described in evaluation studies using the TOPCOP taxonomy.
    Healthcare of the Future 2022: Digital health – from vision to best practice! Hg. Bürkle T, Denecke K, Holm J, Sariyar M, Lehmann M. Amsterdam: IOS Pr, 2022. (Studies in health technology and informatics; 292): 28-33.
  • Toddenroth D:
    Evaluation of domain-specific word vectors for biomedical word sense disambiguation.
    Healthcare of the Future 2022: Digital health – from vision to best practice! Hg. Bürkle T, Denecke K, Holm J, Sariyar M, Lehmann M. Amsterdam: IOS Pr, 2022. (Studies in health technology and informatics; 292: 23-27;
  • Prokosch HU, Bahls T, Bialke M, Eils J, Fegeler C, Gruendner J, Haarbrandt B, Hampf C, Hoffmann W, Hund H, Kampf M, Kapsner LA, Kasprzak P, Kohlbacher O, Krefting D, Mang JM, Marschollek M, Mate S, Müller A, Prasser F, Sass J, Semler S, Stenzhorn H, Thun S, Zenker S, Eils R
    The COVID-19 data exchange platform of the German university medicine.
    Challenges of trustable AI and added-value on health: Proceedings of MIE 2022. Hg. Séroussi B, Weber P, Dhombres F, Grouin C, Liebe JD, Pelayo S, Pinna A, Rance B, Sacchi L, Ugon A, Benis A, Gallos P. Amsterdam: IOS Pr, 2022.  (Studies in Health Technology and Informatics; 294): 674-678;
  • Holzner D, Apfelbacher T, Rödle W, Schüttler C, Prokosch HU, Mikolajczyk R, Negash S, Kartschmit N, Manuilova I, Buch C, Gundlack J, Christoph J:
    Attitudes and acceptance towards artificial intelligence in medical care.
    Challenges of trustable AI and added-value on health: Proceedings of MIE 2022. Hg. Séroussi B, Weber P, Dhombres F, Grouin C, Liebe JD, Pelayo S, Pinna A, Rance B, Sacchi L, Ugon A, Benis A, Gallos P. Amsterdam: IOS Pr, 2022. (Studies in Health Technology and Informatics; 294):68-72. doi: 10.3233/SHTI220398.
  • Löbe M, Bialke M, Bienzeisler J, Drepper J, Ganslandt T, Haderer S, Kraska D, Lablans M, Sax U, Speer R, Stäubert S, Kaulke K, Board of Trustees of the ToolPool Gesundheitsforschung:
    ToolPool Gesundheitsforschung – A repository for software and services focused on supporting clinical and epidemiological research.
    dHealth 2022: Proceedings of the 16th Health Informatics Meets Digital Health Conference. Hg. Schreier G, Pfeifer B, Baumgartner M, Hayn D. Amsterdam: IOS Pr., 2022. (Studies in health technology and informatics; 293): 19-27.
  • Holweg F, Achenbach S, Deppenwiese N, Gaede L, Prokosch HU:
    Towards a FHIR-based data model for coronary angiography observations.
    Healthcare of the Future 2022: Digital health – from vision to best practice! Hg. Bürkle T, Denecke K, Holm J, Sariyar M, Lehmann M. Amsterdam: IOS Pr., 2022. (Studies in health technology and informatics; 292): 96-99.
  • Unberath Ph, Mahlmeister L, Reimer N, Busch H, Börries M, Christoph J:
    Searching of clinical trials made easier in cBioPortal using patients‘ genetic and clinical profiles.
    Applied clinical informatics 13.2022,2: 363-369. DOI: 10.1055/s-0042-1743560
  • Royzman D et al (Kunz M):
    Soluble CD83 improves and accelerates wound healing by the induction of pro-resolving macrophages.
    Frontiers im immunology 2022 (ePub 30. Sep. 2022). doi: 10.3389/fimmu.2022.1012647.
  • Royzman D, et al Kunz M):
    The soluble CD83 protein prevents bone destruction by inhibiting the formation of osteoclasts and inducing resolution of inflammation in arthritis.
    Frontiers in immunology 2022 (ePub 8. Aug. 2022). doi: 10.3389/fimmu.2022.936995.
  • Schmidt A, et al (Kunz M):
    Deciphering pro-angiogenic transcription factor profiles in hypoxic human endothelial cells by combined bioinformatics and in vitro modeling.
    Frontiers in cardiovascular medicine 2022 (e Pub 17. Juni 2022). doi: 10.3389/fcvm.2022.877450.
  • Karl-Schöller F, Kunz M, Kreß L, Held M, Egenolf N, Wiesner A, Dandekar T, Sommer C, Üçeyler N:
    A translational study: Involvement of miR-21-5p in development and maintenance of neuropathic pain via immune-related targets CCL5 and YWHAE.
    Experimental neurology 2022 (ePub 7. Nov. 2022). doi: 10.1016/j.expneurol.2021.113915.

 

 

2021

  • Reichold M, Heß M, Kolominsky-Rabas P, Gräßel E, Prokosch HU: Usability evaluation of an offline electronic data Capture app in a prospective multicenter dementia registry (digiDEM Bayern): mixed method study. Journal of medical internet research: Form Res. 11.2021, 5: e31649. doi: 10.2196/31649. PMID: 34730543. https://pubmed.ncbi.nlm.nih.gov/34730543/
  • Schüttler C, Prokosch HU, Hummel M, Lablans M, Kroll B, Engels C: The journey to establishing an IT-infrastructure within the German Biobank Alliance. Plos one. 16.2021,9: e0257632. Doi: 10.1371/journal.pone.0257632. | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0257632
  • Schüttler C, Prokosch HU, Sedlmayr M, Sedlmayr B. Evaluation of Three Feasibility Tools for Identifying Patient Data and Biospecimen Availability: Comparative Usability Study. Journal of medical internet research: medical informatics 9.2021,7 (ePub 21. Juli 2021). Doi: 10.2196/33105. | https://medinform.jmir.org/2021/7/e25531
  • Hatscher L, Lehmann ChrHK, Onderka C, Liang Ch, Hartmann A, Cesnjevar R, Bruns H, Gross H, Nimmerjahn F, Ivanović-Burmazović I, Kunz M, Heger L, Dudziak D: Select hyperactivating NLRP3 ligands enhance the T H 1- and T H 17-inducing potential of human type 2 conventional dendritic cells. Science signaling 14.2021: eabe1757. doi: 10.1126/scisignal.abe1757 | https://pubmed.ncbi.nlm.nih.gov/33906973/
  • Stürzl M, Kunz M, Krug SM, Naschberger E: Angiocrine regulation of Epithelial barrier integrity in inflammatory bowel disease. Frontiers in medicine 8.2021: 643607. doi: 10.3389/fmed.2021.643607 | https://pubmed.ncbi.nlm.nih.gov/34127686/
  • Stojanović St, Fuchs M, Liang Ch, Schmidt K, Xiao K, Just A, Pfanne A, Pich A, Warnecke G, Braubach P, Petzold Chr, Jonigk D, Distler JHW, Fiedler J, Thum Th, Kunz M: Reconstruction of the miR-506-Quaking axis in Idiopathic Pulmonary Fibrosis using integrative multi-source bioinformatics. Scientific reports 11.2021,1: 12456. doi: 10.1038/s41598-021-89531-7 | https://pubmed.ncbi.nlm.nih.gov/34409045/
  • März J, Kurlbaum M, Roche-Lancaster O, Deutschbein T, Peitzsch M, Prehn C, Weismann D, Robledo M, Adamski J, Fassnacht M, Kunz M, Kroiss M: Plasma metabolome profiling for the diagnosis of catecholamine producing tumors. Frontiers in endocrinology 12.2021: 722656. doi: 10.3389/fendo.2021.722656 | https://pubmed.ncbi.nlm.nih.gov/34557163/
  • Faas M, Ipseiz N, Ackermann J, Culemann St, Grüneboom A, Schröder F, Rothe T, Scholtysek C, Eberhardt M, Böttcher M, Kirchner Ph, Stoll C, Ekici A, Fuchs M, Kunz M, Weigmann B, Wirtz St, Lang R, Hofmann J, Vera J, Voehringer D, Michelucci A, Mougiakakos D, Uderhardt St, Schett, Krönke G: IL-33-induced metabolic reprogramming controls the differentiation of alternatively activated macrophages and the resolution of inflammation. Immunity 21.2021: S1074-7613(21)00395-2. doi: 10.1016/j.immuni.2021.09.010 | https://pubmed.ncbi.nlm.nih.gov/34644537/
  • Sonnenschein Kr, Stojanović St, Dickel N, Fiedler J, Bauersachs J, Thum Th, Kunz M, Tongers J: Artificial intelligence identifies an urgent need for peripheral vascular intervention by multiplexing standard clinical parameters. Biomedicines 9.2021,10: 1456. doi: 10.3390/biomedicines9101456 | https://pubmed.ncbi.nlm.nih.gov/34680572
  • Györfi AH, Matei AE, Fuchs M, Liang Ch, Rigau AR, Hong X, Zhu H, Luber M, Bergmann Chr, Dees C, Ludolph I, Horch RE, Distler O, Wang J, Bengsch B, Schett G, Kunz M, Distler JHW: Engrailed 1 coordinates cytoskeletal reorganization to induce myofibroblast differentiation. Journal of experimental medicine 218.2021,9: e20201916. doi: 10.1084/jem.20201916 | https://pubmed.ncbi.nlm.nih.gov/34259830/#affiliation-3
  • Regensburger AP, Knieling F, Feldkamp A, Rascher W, Diesch K, Woelfle J, Prokosch HU, Jüngert J: Time tracking of standard ultrasound examinations in pediatric hospitals and pediatric medical practices – a multicenter study by the pediatric section of the German Society of Ultrasound in Medicine (DEGUM). Ultraschall in der Medizin 42.2021,4: 379-387. doi: 10.1055/a-1023-4024 | https://www.thieme-connect.com/products/ejournals/abstract/10.1055/a-1023-4024
  • Reichold M, Dietzel N, Chmelirsch Chr, Kolominsky-Rabas PL, Grässel E, Prokosch HU: Designing and implementing an IT architecture for a digital multicenter dementia registry: digiDEM Bayern. Applied clinical informatics 12.2021: 551–563. https://doi.org/10.1055/s-0041-1731286.
  • Bujan Rivera J, Dietzel N, Meuer S, Reichold M, Prokosch HU, Gräßel E, Kolominsky-Rabas, PL: Demenz und Digitalisierung. Neuroreha 13.2021,2: 87–94. https://doi.org/10.1055/a-1472-9826. https://www.thieme-connect.com/products/ejournals/abstract/10.1055/a-1472-9826
  • Reichold M, Selau M, Graessel E, Kolominsky-Rabas PL, Prokosch HU.: eHealth interventions for dementia – using WordPress plugins as a flexible dissemination for dementia service providers. Navigating healthcare through challenging times. Hg. Hayn D, Schreier G, Baumgartner M. Amsterdam: IOS Pr., 2021. (Studies in health technology and informatics; 279): 1-9. DOI: 10.3233/SHTI210081. PMID: 33965911. https://ebooks.iospress.nl/doi/10.3233/SHTI210081
  • Zierk J, Baum H, Bertram A, Boeker M, Buchwald A, Cario H, Christoph J, Frühwald MC, Groß HJ, Groening A, Gschmeidner Th, Hoff T, Hoffmann R, Klauke R, Krebs A, Lichtinghagen R, Mühlenbrock-Lenter S, Neumann M, Nöllke P, Niemeyer ChM, Ruf HG, Steigerwald U, Streichert Th, Torge A, Yoshimi-Nöllke A, Prokosch HU, Metzler M, Rauh M: High-resolution pediatric reference intervals for 15 biochemical analytes described using fractional polynomials. Clinical chemistry and laboratory medicine (ePub 15. Februar 2021). https://doi.org/10.1515/cclm-2020-1371
  • Kühnemund J, Leifeld H, Scherg F, Schmitt M, Nelke L, Schmitt T, Baur F, Göttlich C, Fuchs M, Kunz M, Peindl M, Brähler C, Kronenthaler C, Wischhusen J, Prelog M, Walles, Dandekar Th, Dandekar G, Nietzer SL: Modular micro-physiological human tumor/tissue models based on decellularized tissue for improved preclinical testing. ALTEX (ePub 11. Dezember 2020). DOI: 10.14573/altex.2008141 | https://pubmed.ncbi.nlm.nih.gov/33313956/
  • von Heydebrand F, Fuchs M, Kunz M, Voelkl S, Kremer AN, Oostendorp RAJ, Wilke J. Leitges M, Egle A, Mackensen A, Lutzny-Geier G: Protein kinase C-β-dependent changes in the glucose metabolism of bone marrow stromal cells of chronic lymphocytic leukemia. Stem cells (ePub 4. Februar 2021). DOI:10.1002/stem.3352  | https://pubmed.ncbi.nlm.nih.gov/33539629
  • Schaaf J, Sedlmayr M, Sedlmayr B, Prokosch HU, Storf H: Evaluation of a clinical decision support system for rare diseases: a qualitative study. BMC medical informatics and decision making 21.2021: Art. 65. https://doi.org/10.1186/s12911-021-01435-8 | https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-021-01435-8
  • Dietzel N, Kürten L, Karrer L, Reichold M, Köhler L, Nagel A, Chmelirsch Chr, SeebahnK, Hladik M, Meuer S, Kirchner A, Holm Kr, Selau M, Wendel M, Trinkwalter J, Prokosch HU, Grässel E, Kolominsky-Rabas P: Digital Dementia Registry Bavaria—digiDEM Bayern: study protocol for a multicentre, prospective, longitudinal register study. BMJ open 11.2021: e043473. DOI:10.1136/bmjopen-2020-04347 | https://bmjopen.bmj.com/content/11/2/e043473.full
  • Zahn J, Wimmer S, Rödle W, Toni I, Sedlmayr B, Prokosch HU, Rascher W, Neubert A: Development and evaluation of a Web-based paediatric drug information system for Germany. Pharmacy (Basel) 9.2021,1: 8. DOI: 10.3390/pharmacy9010008.
  • Maier Chr, Kapsner LA, Mate M, Prokosch HU, Kraus St: Patient cohort identification on time series data using the OMOP common data model. Applied clinical informatics 12.2021,1: 57-64. DOI: 10.1055/s-0040-1721481| https://pubmed.ncbi.nlm.nih.gov/33506478/
  • Melzer G, Maiwald T, Prokosch HU, Ganslandt Th: Leveraging real-world data for the selection of relevant eligibility criteria for the implementation of electronic recruitment support in clinical trials. Applied clinical informatics 12.2021,1: 17-26. DOI: 10.1055/s-0040-1721010 | https://www.thieme-connect.de/products/ejournals/html/10.1055/s-0040-1721010?update=true
  • Kapsner LA, Kampf MO, Seuchter SA, Gründner J, Gulden Chr, Mate S, Mang JM, Schüttler Chr, Deppenwiese N, Krause L, Zöller D, Balig J, Fuchs T, Fischer P, Haverkampf Chr, Holderried M, Mayer G, Stenzhorn H, Stolnicu A, Storck M, Storf J, Zohner J, Kohlacher O, Strzecyk A, Schüttler J, Acker T, Boeker M, Kaisers UX, Kestler HA, Prokosch HU: Reduced rate of inpatient hospital admissions in 18 German university hospitals during the COVID-19 lockdown. Frontiers in public health (ePub 13. Januar 2021). https://doi.org/10.3389/fpubh.2020.594117 | https://www.frontiersin.org/articles/10.3389/fpubh.2020.594117/full?&utm_source=Email_to_authors_&utm_medium=Email&utm_content=T1_11.5e1_author&utm_campaign=Email_publication&field=&journalName=Frontiers_in_Public_Health&id=594117
  • Zahn J, Wimmer St, Rödle W, Toni I, Sedlmayr B, Prokosch Hu, Rascher W, Neubert A: Development and evaluation of a Web-based paediatric drug information system for Germany. Pharmacy 9.2021,1: 8. https://www.mdpi.com/2226-4787/9/1/8 | https://doi.org/10.3390/pharmacy9010008
  • Riemann JF, Teufel A, Ganslandt T, Hann A, Hildebrandt H, Juette H, Meining A, Meyer H, Naumann A, Opitz O, Schilling D, Hueppe D: Digital communication strategies in gastroenterology position paper of the LebensBlicke Foundation. Zeitschrift für Gastroenterologie 59.2021,5: 473-474.
  • Trinkmann F, Maros M, Roth K, Hermanns A, Schäfer J, Gawlitza J, Saur J, Akin I, Borggrefe M, Herth FJF, Ganslandt T: Multiple breath washout (MBW) testing using sulfur hexafluoride: reference values and influence of anthropometric parameters. Thorax 76.2021,4: 380-386.
  • Schaaf J, Sedlmayr M, Prokosch HU, Tegtbauer N, Kadioglu D, Schaefer J, Boeker M, Storf H:
    Visualization of Similar patients in a clinical decision support system for rare diseases – a focus group study.
    German medical data sciences: Bringing data to life; Proceedings of the Joint Annual Meeting of the German Association of Medical Informatics, Biometry and Epidemiology (gmds e.V.) and the Central European Network – International Biometric Society (CEN-IBS) 2020 in Berlin, Germany. Röhrig R, Beißbart T, Brannath W, Prokosch HU, Schmidtmann I, Stople S, Zapf A. Amsterdam: IOS Pr, 2021. (Studies in health technology and informatics; 278): 49-57.
  • Mate S, Seuchter SA, Ehrenberg K, Deppenwiese N, Zierk J, Prokosch HU, Kraska D, Kapsner LA: A multi-user terminology mapping toolbox.
    German medical data sciences: Bringing data to life; Proceedings of the Joint Annual Meeting of the German Association of Medical Informatics, Biometry and Epidemiology (gmds e.V.) and the Central European Network – International Biometric Society (CEN-IBS) 2020 in Berlin, Germany. Röhrig R, Beißbart T, Brannath W, Prokosch HU, Schmidtmann I, Stople S, Zapf A. Amsterdam: IOS Pr, 2021. (Studies in health technology and informatics; 278): 217-223;
  • Caliskan D, Zierk J, Kraska D, Schulz S, Daumke P, Prokosch HU, Kapsner LA: First steps to evaluate an NLP tool’s medication extraction accuracy from discharge letters.
    German medical data sciences: Bringing data to life; Proceedings of the Joint Annual Meeting of the German Association of Medical Informatics, Biometry and Epidemiology (gmds e.V.) and the Central European Network – International Biometric Society (CEN-IBS) 2020 in Berlin, Germany. Röhrig R, Beißbart T, Brannath W, Prokosch HU, Schmidtmann I, Stople S, Zapf A. Amsterdam: IOS Pr, 2021. (Studies in health technology and informatics; 278):  224-230.
  • Reimer N, Unberath P, Busch H, Ingenerf J:
    FhirSpark – implementing a mediation layer to bring FHIR to the cBioPortal for cancer genomics.
    Public health and informatics_ Proceedings of MIE 2021. Hg. Mantas J, LStoicu-Tivadar L, Chronaki C, Hasman A, Weber P, Gallos P, Crişan-Vida M, Zoulias E, Sorina Chirila O. Amsterdam: IOS Pr., 2021. (Studies in health technology and informatics; 281): 303-307.
  • Leb I, Magnin S, Prokosch HU, Boeker M:
    Design of an interactive web application for teaching uncertainty interpretations of clinical tests.
    German Medical Data Sciences 2021: Digital medicine: recognize – understand – heal; Proceedings of the Joint Conference of the 66th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology e.V. (gmds) and the 13th Annual Meeting of the TMF – Technology, Methods, and Infrastructure for Networked Medical Research e.V. 2021 online in Kiel, Germany. Hg. Röhrig R, Beißbarth T, JKönig J, Ose C, Rauch G, Sax U, Schreiweis Bj, Sedlmayr M. Amsterdam: IOS Pr., 2021. (Studies in Health Technology and Informatics; 283): 156-162.
  • Leb I, Magnin S, Prokosch HU, Boeker M:
    Patient portals: Objectives, acceptance, and effects on health iutcome – a scoping review of reviews. German Medical Data Sciences 2021: Digital medicine: recognize – understand – heal; Proceedings of the Joint Conference of the 66th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology e.V. (gmds) and the 13th Annual Meeting of the TMF – Technology, Methods, and Infrastructure for Networked Medical Research e.V. 2021 online in Kiel, Germany. Hg. Röhrig R, Beißbarth T, JKönig J, Ose C, Rauch G, Sax U, Schreiweis Bj, Sedlmayr M. Amsterdam: IOS Pr., 2021. (Studies in Health Technology and Informatics; 283): 194-201.
  • Reimer N, Unberath P, Busch H, Börries M, Metzger P, Ustjanzew A, Renner C, Prokosch HU, Christoph J: Challenges and experiences extending the cBioPortal for cancer genomics to a molecular tumor board platform.
    Applying the FAIR principles to accelerate health research in Europe in the post COVID-19 era: Proceedings of the 2021 EFMI Special Topic Conference. Hg. Delgado J, Benis A, de Toledo P, Gallos P, Giacomini M, Martínez-García A, Salvi D. Amsterdam: IOS Pr. 2021. (Studies in Health Technology and Informatics; 287): 139-143.
  • Ustjanzew A, Desuki A, Ritzel C, Dolezilek AC, Wagner DC, Christoph J, Unberath P, Kindler T, Faber J, Marini F, Panholzer T, Paret C:
    cbpManager: A web application to streamline the integration of clinical and genomic data in cBioPortal to support the Molecular Tumor Board.
    BMC Medical Informatics and Decision Making 21.2021,1.
  • Schüttler C, Münster T, Gall C, Trollmann R, Schüttler J:
    General anesthesia in the first 36 months of life.
    Deutsches Ärzteblatt International 118.2021,49: 835-841.
  • Barberan-Garcia A, Cano I, Bongers BC, Seyfried S, Ganslandt T, Herrle F, Martínez-Pallí G:
    Digital support to multimodal community-based prehabilitation: Looking for optimization of health value generation.
    Frontiers in oncology 11.2021: 662013. doi: 10.3389/fonc.2021.662013
  • Walther T, Farin E, Böker M, Prokosch HU, Binder H, Praus F, Ploner N, Fichtner UA, Horki P, Häuslschmid R, Seuchter S, Gratzke C, Schönthaler M:
    RECUR – Aufbau eines automatisierten digitalen Registers für Patient*innen mit rezidivierenden Steinen des oberen Harntraktes.
    Gesundheitswesen 83.2021, S 01: S27-S32.
  • Kapsner LA, Zavgorodnij MG, Majorova SP, Hotz-Wagenblatt A, Kolychev OV, Lebedev IN, Hoheisel JD, Hartmann A, Bauer A, Mate S, Prokosch HU, Haller F, Moskalev EA:
    BiasCorrector: Fast and accurate correction of all types of experimental biases in quantitative DNA methylation data derived by different technologies.
    International journal of cancer 149.2021,5: 1150-1165.
  • Gründner J, Gulden C, Kampf M, Mate S, Prokosch HU, Zierk J:
    A framework for criteria-based selection and processing of fast healthcare interoperability resources (FHIR) data for statistical analysis: design and implementation study.
    JMIR medical informatics 9.2021,4: e25645. doi: 10.2196/25645.
  • Gulden C, Blasini R, Nassirian A, Stein A, Altun FB, Kirchner M, Prokosch HU, Böker M:
    Prototypical clinical trial registry based on fast healthcare interoperability resources (FHIR): Design and implementation study.
    JMIR medical informatics 9.2021,1: e20470. doi: 10.2196/20470.
  • Gierend K, Krüger F, Waltemath D, Fünfgeld M, Ganslandt T, Zeleke AA:
    Approaches and criteria for provenance in biomedical data sets and workflows: Protocol for a scoping review.
    JMIR research protocols 10.2021,11: e31750. doi: 10.2196/31750.
  • Maros ME, Cho CG, Junge AG, Kämpgen B, Saase V, Siegel F, Trinkmann F, Ganslandt T, Groden C, Wenz H:
    Comparative analysis of machine learning algorithms for computer-assisted reporting based on fully automated cross-lingual RadLex mappings.
    Science reports 11.2021,1: 5529. doi: 10.1038/s41598-021-85016-9.
  • Ammer T, Schützenmeister A, Prokosch HU, Rauh M, Rank CM, Zierk J:
    refineR: A novel algorithm for reference interval estimation from real-world data.
    Science reports 11.2021,1: 16023. doi: 10.1038/s41598-021-95301-2.

2020

  • Rödle W, Caliskan D, Prokosch HU, Kraus S: Evaluation of different learning algorithms of neural networks for drug dosing recommendations in pediatrics. dHealth 2020 – biomedical informatics for health and care: Proceedings of the 14th Health Informatics Meets Digital Health Conference. Hg. Schreier G, Hayn D, Eggerth A. Amsterdam: IOS Pr. (Studies in health technology and informatics; 271): 271-276. DOI: 10.3233/SHTI200106 | http://ebooks.iospress.nl/volumearticle/54520.
  • Kraus S, Toddenroth D, Staudigel M, Rödle W, Unberath P, Griebel L, Prokosch HU, Mate S: Mapping the entire record – an alternative approach to data access from medical logic modules. Applied clinical informatics 11.2020,2: 342-349. DOI: 10.1055/s-0040-1709708. Epub 2020 May 13 | https://www.researchgate.net/publication/341366089_Mapping_the_Entire_Record-An_Alternative_Approach_to_Data_Access_from_Medical_Logic_Modules.
  • Schaaf J, Prokosch HU, Boeker M, Schaefer J, Vasseur J. Storf H, Sedlmayr M: Interviews with experts in rare diseases for the development of clinical decision support system software – a qualitative study. BMC medical informatics and decision making 20.2020: Art. 230. https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-020-01254-3
  • Schüttler Chr, Huth V, von Jagwitz-Biegnitz M, Lablans M, Prokosch HU, Griebel L: A federated online search tool for biospecimens (sample locator): Usability study. Journal of medical internet research 22.2020,8: e17739. https://doi.org/10.2196/17739 | https://www.jmir.org/2020/8/e17739/
  • Fuchs M, Kreutzer FPh, Kapsner LA, Mitzka S, Just A, Perbellini F, Terracciano CM, Xiao K, Geffers R, Bogdan Chr, Prokosch HU, Fiedler J, Thum Th, Kunz M: Integrative bioinformatic analyses of global transcriptome data decipher novel molecular insights into cardiac anti-fibrotic therapies. International journal of molecular sciences 21.2020,13: 4727. https://doi.org/10.3390/ijms21134727 | https://www.mdpi.com/1422-0067/21/13/4727
  • Reichold M, Dietzel N, Karrer L, Grässel E, Kolominsky-Rabas PL, Prokosch HU: Stakeholder perspectives on the key components of a digital service platform supporting dementia – digiDEM Bayern. dHealth 2020 – Biomedical Informatics for Health and Care: Proceedings of the 14th Health Informatics Meets Digital Health Conference. Hg. Schreier G, Hayn D, Eggerth A. Amsterdam: IOS Pr., 2020. (Studies in health technology and informatics; 271): 224-231. https://doi:10.3233/SHTI200100 | http://ebooks.iospress.nl/volumearticle/54514
  • Rödle W, Caliskan D, Prokosch HU, Kraus S: Evaluation of different learning algorithms of neural networks for drug dosing recommendations in pediatrics. dHealth 2020 – Biomedical Informatics for Health and Care: Proceedings of the 14th Health Informatics Meets Digital Health Conference. Hg. Schreier G, Hayn D, Eggerth A. Amsterdam: IOS Pr., 2020. (Studies in health technology and informatics; 271): 271-276. https://doi.org/10.3233/SHTI200106 | http://ebooks.iospress.nl/volumearticle/54520
  • Ploner N, Prokosch HU. Integrating a secure and generic mobile app for patient reported outcome acquisition into an EHR infrastructure based on FHIR resources. Digital personalized health and medicine. Hg. Pape-Haugaard LB, Lovis Chr, Madsen IC, WeberP, Nielsen PH, Scott Ph. Amsterdam: IOS Pr., 2020. (Studies in health technology and informatics; 270): 991-995. https://doi:10.3233/SHTI200310 | http://ebooks.iospress.nl/volumearticle/54312
  • Griebel L, Hinderer M, Amr A, Meder B, Schweig M, Deuber D, Egger Chr, Kawohl C, Krämer A, Flade I, Schröder D, Prokosch HU: The patient as genomic data manager – evaluation of the PROMISE app. Digital personalized health and medicine. Hg. Pape-Haugaard LB, Lovis Chr, Madsen IC, WeberP, Nielsen PH, Scott Ph. Amsterdam: IOS Pr., 2020. (Studies in health technology and informatics; 270): 1061-1065. https://doi:10.3233/SHTI200324 | http://ebooks.iospress.nl/volumearticle/54326
  • Eismann H, Schild S, Neuhaus C, Baus J, Happel O, Heller AR, Richter T, Weinert M, Sedlmayr B, Sedlmayr M, St.Pierre M: Gedächtnis- und Entscheidungshilfen für Notfälle in der Anästhesiologie: Grundlagen und Anwendungen. Anästhesiologie & Intensivmedizin 61.2020:239–247. https://doi.org/10.19224/ai2020.239 | https://www.ai-online.info/archiv/2020/06-2020/gedaechtnis-und-entscheidungshilfen-fuer-notfaelle-in-der-anaesthesiologie-grundlagen-und-anwendungen.html
  • Stojanović StD, Fuchs M, Fiedler J, Xiao K, Meinecke A, Just A, Pich A, Thum Th, Kunz M: Comprehensive bioinformatics identifies key microRNA players in ATG7-deficient lung fibroblasts. International journal of molecular science 21.2020,11: 4126. https://doi.org/10.3390/ijms21114126 | https://www.mdpi.com/1422-0067/21/11/4126
  • Unberath Ph, Prokosch HU, Gründner J, Erpenbeck M, Maier Chr, Christoph J: EHR-independent predictive decision support architecture based on OMOP. Applied clinical informatics 11.2020,3: 399-404. https://doi.org/10.1055/s-0040-1710393 | https://www.thieme-connect.com/products/ejournals/html/10.1055/s-0040-1710393?update=true
  • Becker L, Ganslandt T, Prokosch HU, Newe A: Applied practice and possible leverage points for information technology support for the screening for clinical trials: Qualitative study. JMIR medical informatics (ePub 28. März 2020). https://doi.org/10.2196/15749 | https://preprints.jmir.org/preprint/15749/accepted
  • Stojanović StD, Fuchs M, Kunz M, Xiao K, Just A, Pich A, Bauersachs J, Fiedler J, Sedding D: Inflammatory drivers of cardiovascular disease: Molecular characterization of senescent coronary vascular smooth muscle cells. Frontiers in physiology (ePub 25. Mai 2020). https://doi.org/10.3389/fphys.2020.00520 | https://www.frontiersin.org/articles/10.3389/fphys.2020.00520/full
  • Kann S, Kunz M, Hansen J, Sievertsen J, Crespo JJ, Loperena A, Arriens S, Dandekar T: Chagas disease: Detection of trypanosoma cruzi by a new, high-specific real time PCR. Journal of clinical medicine 9.2020,5: 1517. https://www.mdpi.com/2077-0383/9/5/1517 | https://doi.org/10.3390/jcm9051517
  • Kraus S, Toddenroth D, Staudigel M, Rödle W, Unberath Ph, Griebel L, Prokosch HU, Mate S: Mapping the entire record — an alternative approach to data access from medical logic modules. Applied clinical informatics 11.2020: 342-349. DOI:10.1055/s-0040-1709708 | https://www.thieme-connect.com/products/ejournals/abstract/10.1055/s-0040-1709708
  • Schild S, Gründner J, Gulden C, Prokosch HU, StPierre M, Sedlmayr M: Data model requirements for a digital cognitive aid for anesthesia to support intraoperative crisis management. Applied clinical informatics 11.2020,1: 190-199. DOI: 10.1055/s-0040-170301 | https://www.thieme-connect.com/products/ejournals/html/10.1055/s-0040-1703015?update=true
  • Baur F, Nietzer SL, Kunz M, Saal F, Jeromin J, Matschos S, Linnebacher M, Walles H, Dandekar T, Dandekar G: Connecting cancer pathways to tumor engines: A stratification tool for colorectal cancer combining human in vitro tissue models with Boolean in silico models. Cancers 12.2020,1: 1-30. https://doi.org/10.3390/cancers12010028 | https://www.mdpi.com/2072-6694/12/1/28
  • Zierk J, Arzideh F, Kapsner LA, Prokosch HU, Metzler M, Rauh M: Reference interval estimation from mixed distributions using truncation points and the Kolmogorov-Smirnov Distance (Kosmic). Scientific reports (ePub 3. Februar 2020).https://www.nature.com/articles/s41598-020-58749-2 | DOI: 10.1038/s41598-020-58749-2
  • Zierk J, Krebs A, Rauh M, Metzler M, Löscher A, Strasser E, Krause SWBlood counts in adult and elderly individuals: Defining the norms over eight decades of life. British journal of haematology (ePub 6. Februar 2020). https://onlinelibrary.wiley.com/doi/full/10.1111/bjh.16430 | DOI: 10.1111/bjh.16430

2019

  • Schneiderheinze H, Prokosch HU, Apel H, Bellut L, Wullich B, Trollmann R, Schüttler Chr: Development and usability analysis of a multimedia eConsent solution. German medical data sciences: Shaping change – creative solutions for innovative medicine; proceedings of the 64th Annual Meeting of the German Association of Medical Informatics, Biometry and Epidemiology (gmds e.V.) 2019 in Dortmund, Germany – GMDS 2019. Hg. Röhrig R, Binder H, Prokosch HU, Sax U, Schmidtmann I, Stolpe S, Zapf A. Amsterdam: IOS Pr., 2019. (Studies in health technology and informatics; 267): 297-303. DOI: 10.3233/SHTI190841 | http://ebooks.iospress.nl/volumearticle/52781
  • Mate S, Kampf M, Rödle W, Kraus S, Proynova R, Silander K, Ebert L, Lablans M, Schüttler C, Knell C, Eklund N, Hummel M, Holub P, Prokosch HU: Pan-European data harmonization for biobanks in ADOPT BBMRI-ERIC. Applied clinical informatics 10.2019,4: 679-692. doi: 10.1055/s-0039-1695793. Epub 2019 Sep 11. https://www.researchgate.net/publication/335749461_Pan-European_Data_Harmonization_for_Biobanks_in_ADOPT_BBMRI-ERIC
  • Regensburger AP, Knieling F, Feldkamp A, Rascher W, Diesch K, Woelfle J, Prokosch HU, Jüngert J: Time tracking of standard ultrasound examinations in pediatric hospitals and pediatric medical practices – a multicenter study by the Pediatric Section of the German Society of Ultrasound in Medicine (DEGUM). Ultraschall in der Medizin 40.2019 (ePub 24. Oktober 2019)https://www.thieme-connect.com/products/ejournals/abstract/10.1055/a-1023-4024
  • Raupach T, Held j, Prokosch HU, Rascher W, Zierk J: Resistance to antibacterial therapy in pediatric febrile urinary tract infections – A single-center analysis. Journal of pediatric urology (ePub 25. Oktober 2019). https://doi.org/10.1016/j.jpurol.2019.10.018 | https://www.sciencedirect.com/science/article/abs/pii/S1477513119303389?via%3Dihub
  • Gründner J, Schwachhofer T, Sippl P, Wolf N, Erpenbeck M, Gulden Chr, Kapsner LA, Zierk J, Mate S, Stürzl M, Croner R, Prokosch HU, Toddenroth D: KETOS: Clinical decision support and machine learning as a service – A training and deployment platform based on Docker, OMOP-CDM, and FHIR Web Services. PLOS ONE 14.2019,11: e0225442. https://doi.org/10.1371/journal.pone.0225442
  • Kunz M, Wolf B, Fuchs M, Christoph J, Xiao K, Thum T, Atlan D, Prokosch HU, Dandekar T: A comprehensive method protocol for annotation and integrated functional understanding of lncRNAs. Briefings in bioinformatics Oct. 2019: bbz066. doi: 10.1093/bib/bbz066 | https://academic.oup.com/bib/advance-article/doi/10.1093/bib/bbz066/5553031.
  • Vey J, Kapsner LA, Fuchs M, Unberath P, Veronesi G, Kunz M: A toolbox for functional analysis and the systematic identification of diagnostic and prognostic gene expression signatures combining meta-analysis and machine learning. Cancers 11.2019,10: E1606. doi: 10.3390/cancers11101606 | https://www.mdpi.com/2072-6694/11/10/1606.
  • Schweitzer S, Kunz M, Kurlbaum M, Vey J, Kendl S, Deutschbein T, Hahner S, Fassnacht M, Dandekar T, Kroiss M: Plasma steroid metabolome profiling for the diagnosis of adrenocortical carcinoma. European journal of endocrinology 180.2019,2: 117-125. doi: 10.1530/EJE-18-078 | https://eje.bioscientifica.com/view/journals/eje/180/2/EJE-18-0782.xml.
  • Sbiera S, Kunz M, Weigand I, Deutschbein T, Dandekar T, Fassnacht M: The new genetic landscape of cushing’s disease: Deubiquitinases in the spotlight. Cancers 11.2919: Art. 1761. https://doi.org/10.3390/cancers11111761 | https://www.mdpi.com/2072-6694/11/11/1761.
  • Mate S, Bürkle T, Kapsner L, Toddenroth D, Kampf MO, Sedlmayr M, Castellanos I, Prokosch HU, Kraus S: A method for the graphical modeling of relative temporal constraints. Journal of biomedical informatics 100.2019 (ePub 17. Oktober 2019).
  • Lucadou M v, Ganslandt T, Prokosch HU, Toddenroth D:Feasibility analysis of conducting observational studies with the electronic health record. BMC medical informatics and decision making 19.2019: Art. 202.https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-019-0939-0
  • Rödle W, Wimmer S, Zahn J, Prokosch HU, Hinkes B, Neubert A, Rascher W, Kraus S, Toddenroth D, Sedlmayr B: User-centered development of an online platform for drug dosing recommendations in pediatrics. Applied clinical informatics 10.2019,4: 570-579. doi: 10.1055/s-0039-1693714 | https://www.thieme-connect.com/products/ejournals/pdf/10.1055/s-0039-1693714.pdf
  • Rutzner S, Ganslandt T, Fietkau R, Prokosch HU, Lubgan D:Noncurated data lead to misinterpretation of treatment outcomes in patients with prostate cancer after salvage or palliative radiotherapy. JCO clinical cancer informatics Oct. 2019,3: 1-11. https://ascopubs.org/doi/abs/10.1200/CCI.19.00052?rfr_dat=cr_pub%3Dpubmed&url_ver=Z39.88-2003&rfr_id=ori%3Arid%3Acrossref.org&journalCode=cci
  • Pape L, Schneider N, Schleef T, Junius-Walker U, Haller H, Brunkhorst R, Hellrung N, Prokosch HU, Haarbrandt B, Marschollek M, Schiffer M: The nephrology eHealth-system of the metropolitan region of Hannover for digitalization of care, establishment of decision support systems and analysis of health care quality. BMC Med Inform Decis Mak. 19.2019,1:176. doi: 10.1186/s12911-019-0902-0. https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-019-0902-0
  • Kunz M, Jeromin J, Fuchs M, Christoph J, Veronesi G, Flentje M, Nietzer S, Dandekar G, Dandekar T: In silico signaling modeling to understand cancer pathways and treatment responses. Brief Bioinform (ePub 15. April 2019) bbz033. https://academic.oup.com/bib/advance-article/doi/10.1093/bib/bbz033/5450331 | https://doi.org10.1093/bib/bbz033
  •  https://www.sciencedirect.com/science/article/pii/S138650561830933X?via%3Dihub | https://doi.org/10.1016/j.ijmedinf.2019.05.019
  • Ploner N, Neurath MF, Schoenthaler M, Zielke A, Prokosch HU: Concept to gain trust for a German Personal Health Record system using Public Cloud and FHIR. Journal of biomedical informatics (ePub 18. Mai 2019). https://www.sciencedirect.com/science/article/pii/S1532046419301315 | DOI: 10.1016/j.jbi.2019.103212
  • Schild S, Sedlmayr B, Schumacher AK, Sedlmayr M, Prokosch HU, St.Pierre M: A digital cognitive aid for anesthesia to support intraoperative crisis management: Results of the user-centered design process. Journal of medical internet research Mhealth Uhealth 7.2019,4): e13226. https://mhealth.jmir.org/2019/4/e13226/ | DOI: 10.2196/13226
  • Zierk J, Hirschmann J, Toddenroth D, Arzideh F, Haeckel R, Betram A, Cario H, Frühwald MC, Gross HJ, Groening A, Grützner S, Gscheidmeier A, Hoff T, Hoffmann R, Klauke R, Krebs A, Lichtinghagen R, Mühlenbrock-Lenter S, Neumann M, Nöllke P, Niemeyer CM, Ruf HG, Streichert T, Torge A, Rascher W, Prokosch HU, Rauh M, Metzler M: Next-generation reference intervals for pediatric hematology. Clinical chemistry and laboratory medicine: (ePub 22. April 2019). https://www.degruyter.com/view/j/cclm.ahead-of-print/cclm-2018-1236/cclm-2018-1236.xml | DOI: https://doi.org/10.1515/cclm-2018-1236
  • Prokosch HU, Schüttler C, Schraudt M, Öfelein M, Maier C: Digital patient communication: Improving the hospital-patient relationship. Healthcare of the future. Hg. Bürkle T, Lehmann M, Denecke K, Sariyar M, Bignens S, Zetz E, Holm J. Amsterdam: IOS Pr., 2019. (Studies in health technology and informatics; 259): 3-9. DOI  10.3233/978-1-61499-961-4-3 | http://ebooks.iospress.nl/publication/51310
  • Kraus S, Toddenroth D, Unberah P, Prokosch HU, Hueske-Kraus D: An extension of the Arden syntax to facilitate clinical document generation. Healthcare of the future. Hg. Bürkle T, Lehmann M, Denecke K, Sariyar M, Bignens S, Zetz E, Holm J. Amsterdam: IOS Pr., 2019. (Studies in health technology and informatics; 259): 65-70. DOI  10.3233/978-1-61499-961-4-65 | http://ebooks.iospress.nl/publication/51322
  • Unberath P, Prokosch HU, Kraus S:  A REST service fort he visualization of clinical time series data in the context of clinical decision support.  ICT for health science research: Proceedings oft he EFMI STC 2019 Specia Topic Conference. Hg. Shabo A, Prokosch HU, Häyrinen K, Wolf KH, Martin-Sanchez F, Löbe M, Deserno TM. Amsterdam: IOS Pr., 2019. (Studies in health technology and informatics; 258): 26-30. doi:10.3233/978-1-61499-959-1-26| http://ebooks.iospress.nl/publication/51345
  • Kraus S, Prokosch HU:  Complementing medical records with precalculated data items to facilitate decision support and phenotyping.  ICT for health science research: Proceedings oft he EFMI STC 2019 Specia Topic Conference. Hg. Shabo A, Prokosch HU, Häyrinen K, Wolf KH, Martin-Sanchez F, Löbe M, Deserno TM. Amsterdam: IOS Pr., 2019. (Studies in health technology and informatics; 258): 23-40. doi:10.3233/978-1-61499-959-1-36 | http://ebooks.iospress.nl/publication/51347
  • Unberath P, Knell C, Prokosch HU, Christoph J:  Developing new analysis functions for a translational research platform: extending the cBioPortal for cancer genomics.  ICT for health science research: Proceedings oft he EFMI STC 2019 Specia Topic Conference. Hg. Shabo A, Prokosch HU, Häyrinen K, Wolf KH, Martin-Sanchez F, Löbe M, Deserno TM. Amsterdam: IOS Pr., 2019. (Studies in health technology and informatics; 258): 46-50. doi:10.3233/978-1-61499-959-1-46 |  http://ebooks.iospress.nl/publication/51349
  • Kampf MO, Kraska D, Prokosch HU: An analysis of Erlangen University Hospital’s billing data on utility-based de-identification: Developing new analysis functions for a translational research platform: extending the cBioPortal for cancer genomics.  ICT for health science research: Proceedings oft he EFMI STC 2019 Specia Topic Conference. Hg. Shabo A, Prokosch HU, Häyrinen K, Wolf KH, Martin-Sanchez F, Löbe M, Deserno TM. Amsterdam: IOS Pr., 2019. (Studies in health technology and informatics; 258): 70-74. doi:10.3233/978-1-61499-959-1-70 | http://ebooks.iospress.nl/publication/51355
  • Gründner J, Prokosch HU, Schindler S, Lenz S, Binder H: A queue-poll extension and DataSHIELD: Standardised, monitored, indirect and secure access to sensitive data.  ICT for health science research: Proceedings oft he EFMI STC 2019 Specia Topic Conference. Hg. Shabo A, Prokosch HU, Häyrinen K, Wolf KH, Martin-Sanchez F, Löbe M, Deserno TM. Amsterdam: IOS Pr., 2019. (Studies in health technology and informatics; 258): 115-119. doi:10.3233/978-1-61499-959-1-115 | http://ebooks.iospress.nl/publication/51364
  • Sommer S, Kirchner M, Gulden C, Egloffstein S, Lux MP, Beckmann MW, Mackensen A, Prokosch HU:  Design and Implementation of a single source multipurpose hospital-wide clinical trial registry. ICT for health science research: Proceedings oft he EFMI STC 2019 Specia Topic Conference. Hg. Shabo A, Prokosch HU, Häyrinen K, Wolf KH, Martin-Sanchez F, Löbe M, Deserno TM. Amsterdam: IOS Pr., 2019. (Studies in health technology and informatics; 258): 164-168. doi:10.3233/978-1-61499-959-1-164| http://ebooks.iospress.nl/publication/51376
  • Mang J, Schild S, Prokosch HU, Jeleazcov C, Heinrich A, Toddenroth D:  Evaluation of a patient-facing digital prototype for perioperative risk assessment. ICT for health science research: Proceedings oft he EFMI STC 2019 Specia Topic Conference. Hg. Shabo A, Prokosch HU, Häyrinen K, Wolf KH, Martin-Sanchez F, Löbe M, Deserno TM. Amsterdam: IOS Pr., 2019. (Studies in health technology and informatics; 258): 201-205. doi:10.3233/978-1-61499-959-1-201| http://ebooks.iospress.nl/publication/51384
  • Hasselblatt H, Andrae J, Tassoni A, Fitzer K, Bahls T, Prokosch Hu, Boeker M: Establishing an interoperable clinical trial information system within MIRACUM. ICT for health science research: Proceedings oft he EFMI STC 2019 Specia Topic Conference. Hg. Shabo A, Prokosch HU, Häyrinen K, Wolf KH, Martin-Sanchez F, Löbe M, Deserno TM. Amsterdam: IOS Pr., 2019. (Studies in health technology and informatics; 258): 216-220. doi:10.3233/978-1-61499-959-1-216| http://ebooks.iospress.nl/publication/51387
  • Gulden C, Landerer I, Nassirian A, Altun FB, Andrae J: Extraction and prevalence of structured data elements from free-text clinical trial eligibility criteria. ICT for health science research: Proceedings oft he EFMI STC 2019 Specia Topic Conference. Hg. Shabo A, Prokosch HU, Häyrinen K, Wolf KH, Martin-Sanchez F, Löbe M, Deserno TM. Amsterdam: IOS Pr., 2019. (Studies in health technology and informatics; 258): 226-230. doi:10.3233/978-1-61499-959-1-226| http://ebooks.iospress.nl/publication/51389
  • Maier C, Christoph J, Schmidt D, Ganslandt T, Prokosch HU, Kraus S, Sedlmayr M: Experiences of transforming a complex nephrologic care and research database into i2b2 using the IDRT tools. Journal of healthcare engineering (ePub 17. Jan. 2019) DOI: 10.1155/2019/5640685. https://www.hindawi.com/journals/jhe/2019/5640685/

2018

2017

  • Hackl WO, Ganslandt T: Clinical information systems as the backbone of a complex information logistics process: Findings from the Clinical Information Systems Perspective for 2016. Yearb Med Inform 26.20170,1: 103-109. DOI: 10.15265/IY-2017-023 | https://www.thieme-connect.de/products/ejournals/pdf/10.15265/IY-2017-023.pdf
  • Zierk J, Hirschmann J, Toddenroth D, Arzideh F, Streichert T, Haeckel, Prokosch HU, Rauh M, Metzler M: Next-generation reference intervals for pediatroc hematology. Haematologica 102.2017: 458-459.
  • Wallwiener M, Heindl F, Brucker SY, Taran FA, Hartkopf A, Overkamp F, Kolberg HC, Hadji P, Tesch H, Ettl J, Lux MP, Rauh C, Blum S, Nabieva N, Brodkorb TF, Faschingbauer C, Langemann H, Schulmeyer C, Volz B, Rübner M, Lüftner D, Müller V, Belleville E, Janni W, Fehm TN, Wallwiener D, Ganslandt T, Beckmann MW, Schneeweiss A, Fasching PA, Gass P: Implementation and feasibility of electronic patient-reported outcome (ePRO) data entry in the PRAEGNANT real-time advanced and metastatic breast cancer registry. Geburtshilfe Frauenheilkd. 77.2017,8: 870-878. doi: 10.1055/s-0043-116223 | https://www.thieme-connect.com/products/ejournals/abstract/10.1055/s-0043-116223
  • Eckardt KU, Titze S, Prokosch HU, Bärthlein B, Reis A, Ekici AB, Gefeller O, Hilgers KF, Hübner S, Avendano S, Becker-Grosspitsch D, Hauck N, Seuchter SA, Hausknecht B, Rittmeier M, Weigel A, Beck A, Ganslandt T, Knispel S, Dressel T, Malzer M, Floege J, Eitner F, Schlieper G, Findeisen K, Arweiler E, Ernst S, Unger M, Lipski S, Schaeffner E, Baid-Agrawal S, Petzold K, Schindler R, Köttgen A, Schultheiss U, Meder S, Mitsch E, Reinhard U, Walz G, Haller H, Lorenzen J, Kielstein JT, Otto P, Sommerer C, Föllinger C, Zeier M, Wolf G, Busch M, Paul K, Dittrich L, Sitter T, Hilge R, Blank C, Wanner C, Krane V, Schmiedeke D, Toncar S, Cavitt D, Schönowsky K, Börner-Klein A, Kronenberg F, Raschenberger J, Kollerits B, Forer L, Schönherr S, Weißensteiner H, Oefner P, Gronwald W, Zacharias H, Schmid M: Genetic risk variants for membranous nephropathy: extension of and association with other chronic kidney disease aetiologies. Nephrol Dial Transplant. 32.2017,2: 325-332.  https://academic.oup.com/ndt/article/32/2/325/29823 | doi: 10.1093/ndt/gfw001
  • Hack CC, Stoll MJ, Jud SM, Heusinger K, Adler W extern, Haeberle L, Ganslandt T, Heindl F, Schulz-Wendtland R extern, Cavallaro A extern, Uder M extern, Beckmann MW, Fasching PA, Bayer CM: Correlation of mammographic density and serum calcium levels in patients with primary breast cancer. Cancer Med. 6.2017,6: 1473-1481.  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5463083/ |  doi: 10.1002/cam4.1066
  • Christoph J, Knell C, Bosserhoff A, Naschberger E, Stürzl M, Rübner M, Seuss H, Ruh M, Prokosch HU, Sedlmayr M: Usability and suitability of the Omics-integrating analysis platform tranSMART for translational research and education. Applied clinical informatics 8.2017,4: 1173-1183: |https://aci.schattauer.de/en/contents/archive/issue/2530/issue/special/manuscript/28236/show.html | https://doi.org/10.4338/ACI-2017-05-RA-0085
  • Storf H, Schaaf J, Kadioglu D, Göbel J, Wagner TOF, Ückert F: [Registries for rare diseases : OSSE – An open-source framework for technical implementation].Bundesgesundheitsblatt Gesundheitsforschung, Gesundheitsschutz 60.2017,5: 523-531. doi: 10.1007/s00103-017-2536-7
  • Mate S, Castellanos I, Ganslandt Th, Prokosch HU, Kraus St: Standards-based procedural phenotyping: the Arden Syntax on i2b2. German medical data sciences: visions and bridges; proceedings of the 62nd annual meeting of the German Association of Medical Informatics, Biometry and Epidemiology (GMDS e.V.) in Oldenburg – GMDS 2017. Eds Röhrig R, Timmer A, Binder H, Sax U. Amsterdam; Berlin; Washington DC: IOS Pr., 2017. (Studies in health technology and informatics; 243): 37-41. | http://iospress.nl/book/german-medical-data-sciences-visions-and-bridges/.
  • Mate S, Vormstein P, Kadioglu D, Majeed RW, Lablans M, Prokosch HU, Storf H: On-the-fly query translation between i2b2 and samply in the German Biobank Node (GBN) prototype. German medical data sciences: visions and bridges; proceedings of the 62nd annual meeting of the German Association of Medical Informatics, Biometry and Epidemiology (GMDS e.V.) in Oldenburg – GMDS 2017. Eds Röhrig R, Timmer A, Binder H, Sax U. Amsterdam; Berlin; Washington DC: IOS Pr., 2017. (Studies in health technology and informatics; 243): 42-46. | http://iospress.nl/book/german-medical-data-sciences-visions-and-bridges/.
  • Mate S, Kadioglu D, Majeed RW, Stöhr MR, Folz M, Vormstein P, Storf H, Brucker D, Keune D, Zerbe N, Hummel M, Senghas K, Prokosch HU, Lablans M: Proof-of-concept integration of heterogeneous biobank IT infrastructures into a hybrid biobanking network. German medical data sciences: visions and bridges; proceedings of the 62nd annual meeting of the German Association of Medical Informatics, Biometry and Epidemiology (GMDS e.V.) in Oldenburg – GMDS 2017. Eds Röhrig R, Timmer A, Binder H, Sax U. Amsterdam; Berlin; Washington DC: IOS Pr., 2017. (Studies in health technology and informatics; 243): 100-104. | http://iospress.nl/book/german-medical-data-sciences-visions-and-bridges/.
  • Schüttler Chr, Hinderer M, Kraus St, Lang AK, Prokosch HU, Castellanos I: Requirements analysis for a clinical decision support system aiming at improving the artificial nutrition of critically ill patients. German medical data sciences: visions and bridges; proceedings of the 62nd annual meeting of the German Association of Medical Informatics, Biometry and Epidemiology (GMDS e.V.) in Oldenburg – GMDS 2017. Eds Röhrig R, Timmer A, Binder H, Sax U. Amsterdam; Berlin; Washington DC: IOS Pr., 2017. (Studies in health technology and informatics; 243): 137-141. | http://iospress.nl/book/german-medical-data-sciences-visions-and-bridges/.
  • Purohit AM, Brutscheck C, Prokosch HU, Ganslandt Th, Schneider: Implementation of task-tracking software for clinical IT management. German medical data sciences: visions and bridges; proceedings of the 62nd annual meeting of the German Association of Medical Informatics, Biometry and Epidemiology (GMDS e.V.) in Oldenburg – GMDS 2017. Eds Röhrig R, Timmer A, Binder H, Sax U. Amsterdam; Berlin; Washington DC: IOS Pr., 2017. (Studies in health technology and informatics; 243): 157-161. | http://iospress.nl/book/german-medical-data-sciences-visions-and-bridges/.
  • Schlue D, Mate S, Haier J, Kadioglu D, Prokosch HU, Breil B: From a content delivery portal to a knowledge management system for standardized cancer documentation. German medical data sciences: visions and bridges; proceedings of the 62nd annual meeting of the German Association of Medical Informatics, Biometry and Epidemiology (GMDS e.V.) in Oldenburg – GMDS 2017. Eds Röhrig R, Timmer A, Binder H, Sax U. Amsterdam; Berlin; Washington DC: IOS Pr., 2017. (Studies in health technology and informatics; 243): 180-184. | http://iospress.nl/book/german-medical-data-sciences-visions-and-bridges/.
  • Staudigel M, Prokosch HU, Kraus St: An abstraction layer to facilitate technical interoperability between medical records and knowledge modules. German medical data sciences: visions and bridges; proceedings of the 62nd annual meeting of the German Association of Medical Informatics, Biometry and Epidemiology (GMDS e.V.) in Oldenburg – GMDS 2017. Eds Röhrig R, Timmer A, Binder H, Sax U. Amsterdam; Berlin; Washington DC: IOS Pr., 2017. (Studies in health technology and informatics; 243): 185-189. | http://iospress.nl/book/german-medical-data-sciences-visions-and-bridges/.
  • Hirschmann J, Sedlmayr B, Zierk J, Rauh M, Metzler M, Prokosch HU, Toddenroth D: Evaluation of an interactive visualization tool for the interpretation of pediatric laboratory test results. German medical data sciences: visions and bridges; proceedings of the 62nd annual meeting of the German Association of Medical Informatics, Biometry and Epidemiology (GMDS e.V.) in Oldenburg – GMDS 2017. Eds Röhrig R, Timmer A, Binder H, Sax U. Amsterdam; Berlin; Washington DC: IOS Pr., 2017. (Studies in health technology and informatics; 243): 207-211. | http://iospress.nl/book/german-medical-data-sciences-visions-and-bridges/.
  • Sippl Ph, Ganslandt Th, Prokosch HU, Muenster T, Toddenroth D: Machine learning Models of post-intubation hypoxia during general anesthesia. German medical data sciences: visions and bridges; proceedings of the 62nd annual meeting of the German Association of Medical Informatics, Biometry and Epidemiology (GMDS e.V.) in Oldenburg – GMDS 2017. Eds Röhrig R, Timmer A, Binder H, Sax U. Amsterdam; Berlin; Washington DC: IOS Pr., 2017. (Studies in health technology and informatics; 243): 212-216. | http://iospress.nl/book/german-medical-data-sciences-visions-and-bridges/.
  • Winter A, Takabayashi K, Jahn F, Kimura E, Engelbrecht R, Haux R, Honda M, Hübner UH, Inoue S, Kohl CD, Matsumoto T, Matsumura Y, Miyo K, Nakashima N, Prokosch HU, Staemmler M: Quality requirements for electronic health record systems. Methods of information in medicine 56.2017,4: e92-e104. https://doi.org/10.3414/ME17-05-0002 | https://methods.schattauer.de/contents/most-recent-articles/issue/2512/issue/special/manuscript/27796/show.html
  • Winter A, Takabayashi K, Jahn F, Kimura E, Engelbrecht R, Haux R, Honda M, Hübner UH, Inoue S, Kohl CD, Matsumoto T, Matsumura Y, Miyo K, Nakashima N, Prokosch HU, Staemmler M: Japanese-German collaboration on electronic health record systems. The practice of patient centered care: Empowering and engaging patients in the digital era. Engelbrecht R, Balicer R, Hercigonja-Szekeres M. IOS Press, 2017 (eBook). (Studies in Health Technology and Informatics; 244): 71-72. DOI 10.3233/978-1-61499-824-2-71 | http://ebooks.iospress.nl/volumearticle/47796
  • Plank-Kiegele B, Bürkle T, Müller F, Patapovas A, Sonst A, Pfistermeister B, Dormann H, Maas R: Data requirements for the correct identification of medication errors and adverse drug events in patients presenting at an emergency department. Methods of information in medicine 56.2017,4: 276-282.https://doi.org/10.3414/ME16-01-0126 | https://methods.schattauer.de/contents/most-recent-articles/issue/2512/issue/special/manuscript/27469/show.html
  • Prokosch HU: Data integration in life sciences. IT Information Technology 59.2017,4: 159–160. DOI: https://doi.org/10.1515/itit-2017-0010 | https://www.degruyter.com/view/j/itit.ahead-of-print/itit-2017-0010/itit-2017-0010.xml
  • Halwas N, Griebel L, Huebner J: eHealth literacy, Internet and eHealth service usage: a survey among cancer patients and their relatives. Journal of cancer research and clinical oncology 143.2017,11: 2291–2299.  DOI: 10.1007/s00432-017-2475-6  | https://link.springer.com/article/10.1007%2Fs00432-017-2475-6.
  • Hinderer M, Boeker M, Wagner SA, Binder H, Ückert F, Newe S, Hülsemann JL, Neumaier M, Schade-Brittinger C, Acker T, Prokosch HU, Sedlmayr B. The experience of physicians in pharmacogenomic clinical decision support within eight German university hospitals. Pharmacogenomics 18.2017,8: 773-785. http://www.futuremedicine.com/doi/abs/10.2217%2Fpgs-2017-0027 | DOI: 10.2217/pgs-2017-0027. PMID: 28593816
  • Hinderer M, Boerries M, Haller F, Wagner S, Sollfrank S, Acker T, Prokosch HU, Christoph J: Supporting molecular tumor boards in molecular-guided decision-making – the current status of five German university hospitals. Health informatics meets eHealth: Digital insight – information-driven health & care; proceedings of the 11th eHealth2017 Conference. Eds Hayn, D., Schreier, G. Amsterdam: IOS Pr., 2017. (Studies in health technology and informatics; 236): 48-54. http://ebooks.iospress.nl/volumearticle/46459 | DOI: 10.3233/978-1-61499-759-7-48. PMID: 28508778
  • Christoph J, Knell C, Naschberger E, Stürzl M, Maier C, Prokosch HU, Sedlmayr M: Two years of tranSMART in a university hospital for translational research and education. Health informatics meets eHealth: Digital insight – information-driven health & care; proceedings of the 11th eHealth2017 Conference. Eds Hayn, D., Schreier, G. Amsterdam: IOS Pr., 2017. (Studies in health technology and informatics; 236): 70-79. http://ebooks.iospress.nl/volumearticle/46462 | DOI: 10.3233/978-1-61499-759-7-70.
  • Knell C, Sedlmayr M, Christoph J: Developing interactive plug-ins for tranSMART using the SmartR framework: The case of survival analysis. Health informatics meets eHealth: Digital insight – information-driven health & care; proceedings of the 11th eHealth2017 Conference. Eds Hayn, D., Schreier, G. Amsterdam: IOS Pr., 2017. (Studies in health technology and informatics; 236): 375-382. http://ebooks.iospress.nl/volumearticle/46501 | DOI: 10.3233/978-1-61499-759-7-375.
  • Hinderer M, Boeker M, Wagner SA, Lablans M, Newe S, Hülsemann JL, Neumaier M, Binder H, Renz H, Acker T, Prokosch HU, Sedlmayr M: Integrating clinical decision support systems for pharmacogenomic testing into clinical routine – a scoping review of designs of user-system interactions in recent system development. BMC Med Inform Decis Mak 17.2017,1: 81. https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-017-0480-y | DOI: 10.1186/s12911-017-0480-y. PMID: 28587608
  • Koposov R, Fossum S, Frodl T, Nytrø Ø, Leventhal B, Sourander A, Quaglini S, Molteni M, de la Iglesia Vayá M, Prokosch HU, Barbarini N, Milham MP, Castellanos FX, Skokauskas: Clinical decision support systems in child and adolescent psychiatry: a systematic review. European child & adolescent psychiatry 26.2017,11: 1309–1317. DOI: 10.1007/s00787-017-0992-0. | https://www.ncbi.nlm.nih.gov/pubmed/28455596
  • Hack CC, Stoll MJ, Jud SM, Heusinger K, Adler W, Haeberle L, Ganslandt T, Heindl F, Schulz-Wendtland R, Cavallaro A, Uder M, Beckmann MW, Fasching PA, Bayer CM: Correlation of mammographic density and serum calcium levels in patients with primary breast cancer. Cancer medicine 6.2017,6: 1473–1481. DOI: 10.1002/cam4.1066 | http://onlinelibrary.wiley.com/doi/10.1002/cam4.1066/abstract;jsessionid=66B640570A0E359FFFB142FE3F21253F.f03t02 
  • Seuß H, Danker P, Ihle M, Grandjean A, Hammon R, Kaestle N, Fasching PA, Maier C, Christoph J, Sedlmayr M, Cavallaro A, Hammon M: Semi-automated de-identification of German content sensitive reports for big data analytics | Semi-automatische Deidentifizierung von deutschsprachigen medizinischen Berichten mit vertraulichem Inhalt für Big Data Analysen. RöFo 189.2017,7: 661-671.  DOI: 10.1055/s-0043-102939 | https://www.thieme-connect.de/DOI/DOI?10.1055/s-0043-102939
  • Rutzner S, Fietkau R, Ganslandt Th, Prokosch HU, Lubgan D: Electronic support for retrospective analysis in the field of radiation oncology: Proof of principle using an example of fractionated stereotactic radiotherapy of 251 meningioma patients. Radiation oncology 9. Februar 2017):https://doi.org/10.3389/fonc.2017.00016

2016

  • Pfistermeister B, Sedlmayr B, Patapovas A, Suttner G, Tektas O, Tarkhov A, Kornhuber J, Fromm MF, Bürkle T, Prokosch HU, Maas R: Development of a standardized rating tool for drug alerts to reduce information overload. Methods of information in medicine 55.2016,6: 507-515  http://dx.doi.org/10.3414/ME16-01-0003
  • MaasR, SchächteleS, SchusterS, AbbasZ, FriedlandK, Kirchner-CulcaS, DörjeF, ProkoschHU, BangemannM, SteidlR, Spiegl, JobstF, SchlenkM, RöckC, ZerthJ, FrommM, DormannH: MetropolMediplan 2016 – eine AMTS-Lösung zum digitalen Medikations- und Therapiedatenaustausch für Patienten, Ärzte und Apotheker. e-Health-Journal 1.2016: 19-25.
  • SedlmayrM, Würfl T, Maier C, Häberle L, Fasching P, Prokosch HU, Christoph K: Optimizing R with SparkR on a commodity cluster for biomedical research. Computer methods and programs in biomedical research 137.2016,1: 321-328. doi>10.1016/j.cmpb.2016.10.006 | http://www.sciencedirect.com/science/article/pii/S0169260716303807
  • Toddenroth D, Sivagnanasundaram J, Prokosch HU, Ganslandt T: Concept and implementation of a study dashboard module for a continuous monitoring of trial recruitment and documentation. Journal of biomedical informatics 64.2016: 221-231. http://dx.doi.org/10.1016/j.jbi.2016.10.010 |  http://www.sciencedirect.com/science/article/pii/S1532046416301472
  • Hackl WO, Ganslandt T: New problems – new solutions: a never ending story; findings from the Clinical Information Systems Perspective for 2015. IMIA yearbook 10, 2016,1: 146-151. http://imia.schattauer.de/en/contents/archive/issue/2422/manuscript/26820.html
  • Bruland Ph, McGilchrist M, Zapletal E, Acosta D, Proeve J, Askin S, Ganslandt T, Doods J, Dugas M: Common data elements for secondary use of electronic health record data for clinical trial execution and serious adverse event reporting. BMC medical research methodology 16.2016: 159-168. doi:10.1186/s12874-016-0259-3 |  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5118882/
  • Löbe M, Ganslandt T, Lotzmann L, Mate S, Christoph J, Baum B, Sariyar M, Wu J, Stäubert S: Simplified deployment of health informatics applications by providing docker images. Exploring complexity in health: an interdisciplinary systems approach. Hg Hoerbst A, Hackl WO, de Keizer N, Prokosch HU, Hercigonja-Szekeres M, de Lusignan S. Amsterdam: IOS Pr. Studies in health technology and informatics; 228): 643-647. http://ebooks.iospress.nl/publication/44692
  • Griebel L, Kolominsky-Rabas P, Schaller S, Siudyka J, Sierpinski R, Papavlou D, Simeonidou A, Prokosch HU, Sedlmayr M: Acceptance by laypersons and medical professionals of the personalized eHealth platform, eHealthMonitor. Informatics for health and social care (20 Oct. 2016): http://dx.doi.org/10.1080/17538157.2016.1237953. http://www.tandfonline.com/doi/full/10.1080/17538157.2016.1237953
  • Kraus S, Castellanos I, Albermann M, Schüttler C, Prokosch HU, Staudigel M, Toddenroth D: Using Arden Syntax for the generation of intelligent intensive care discharge letters. Exploring complexity in health: an interdisciplinary systems approach; proceedings of MIE 2016 at HEC2016. Hg. Hoerbst A, Hackl WO, de Keizer N, Prokosch HU, Hercigonja-Szekeres M. Amsterda; Berlin; New York: IOS Pr., 2016. (Studies in health technology and informatics; 228): 471-475.http://ebooks.iospress.nl/volume/exploring-complexity-in-health-an-interdisciplinary-systems-approach-proceedings-of-mie2016-at-hec2016
  • Toddenroth D, Ganslandt T, Drescher C, Weith T, Prokosch HU, Schüttler J, Münster T: Algorithmic summaries of perioperative blood pressure fluctuations. Exploring complexity in health: an interdisciplinary systems approach; proceedings of MIE 2016 at HEC2016. Hg. Hoerbst A, Hack WO, de Keizer N, Prokosch HU, Hercigonja-Szekeres M. Amsterdam; Berlin; New York: IOS Pr., 2016. (Studies in health technology and informatics; 228): 532-536.http://ebooks.iospress.nl/volume/exploring-complexity-in-health-an-interdisciplinary-systems-approach-proceedings-of-mie2016-at-hec2016
  • Newe A, Becker L: Using interactive 3D PDF for exploring complex biomedical data: experiences and solutions. Exploring complexity in health: an interdisciplinary systems approach; proceedings of MIE 2016 at HEC2016. Hg. Hoerbst A, Hack WO, de Keizer N, Prokosch HU, Hercigonja-Szekeres M. Amsterdam; Berlin; New York: IOS Pr., 2016. (Studies in health technology and informatics; 228): 740-745.http://ebooks.iospress.nl/volume/exploring-complexity-in-health-an-interdisciplinary-systems-approach-proceedings-of-mie2016-at-hec2016
  • Exploring complexity in health: an interdisciplinary systems approach; proceedings of MIE 2016 at HEC2016. Hg. Hoerbst A, Hack WO, de Keizer N, Prokosch HU, Hercigonja-Szekeres M. Amsterdam; Berlin; New York: IOS Pr., 2016. (Studies in health technology and informatics; 228)http://ebooks.iospress.nl/volume/exploring-complexity-in-health-an-interdisciplinary-systems-approach-proceedings-of-mie2016-at-hec2016
  • Vollmer AM, Prokosch HU, Evans S, Kuttler K: Evaluation of acceptance of nursing information system in a German and American hospital. Nursing Informatics 2016. Hg. Sermeus W, Procter PW, Weber P. Amsterdam u.a.: IOS Pr, 2016: 118-122. (Studies in Health Technology and Informatics; 225)http://ebooks.iospress.nl/publication/43019
  • Newe A (2016). Enriching scientific publications with interactive 3D PDF: An integrated toolbox for creating ready-to-publish figures. PeerJ Computer Science 2: e64;http://dx.doi.org/10.7717/peerj-cs.64.
  • Hein A, Gass P, Walter CB, Taran FA, Hartkopf A, Overkamp F, Kolberg HC, Hadji P, Tesch H, Ettl J, Wuerstlein R, Lounsbury D, Lux MP, Lüftner D, Wallwiener M, Müller V, Belleville E, Janni W, Fehm TN, Wallwiener D, Ganslandt T, Ruebner M, Beckmann MW, Schneeweiss A, Fasching PA, Brucker SY: Computerized patient identification for the EMBRACA clinical trial using real-time data from the PRAEGNANT network for metastatic breast cancer patients. Breast cancer research and treatment 158,1: 59-65. http://dx.doi.org/10.1007/s10549-016-3850-8 | http://www.ncbi.nlm.nih.gov/pubmed/27283834
  • Kolominsky-Rabas P, Djanatliev A, Meier F, Uffenorde S, Radeleff J, Baumgärtel P, Leb I, Sedlmayr M, Gaiser S, Adamson PB: Health economic impact of a pulmonary artery pressure sensor for heart failure telemonitoring: A dynamic simulation. Telemedicine journal and e-health 10.2016: 798-808.  http://online.liebertpub.com/doi/10.1089/tmj.2015.0226.rev
  • Newe A: Dramatyping: A generic algorithm for detecting reasonable temporal correlations between drug administration and lab value alterations. PeerJ 4.2016: e1851. http://dx.doi.org/10.7717/peerj.1851. PMID: 27042396.
  • Schaller S, Marinova-Schmidt V, Setzer M, Kondylakis H, Griebel L, Sedlmayr M, Graessel E, Maler JM, Kirn S, Kolominsky-Rabas PL: Usefulness of a tailored eHealth service for informal caregivers and professionals in the dementia treatment and care setting: The eHealthMonitor dementia portal. JMIR Res Protoc 2016;5(2):e47.  http://www.researchprotocols.org/2016/2/e47/  |   http://dx.doi.org/10.2196/resprot.4354
  • Uter W, Schnuch A, Wilkinson M, Dugonik A, Dugonik B, Ganslandt T: Registries in clinical epidemiology: the European Surveillance System on Contact Allergies (ESSCA). Methods of information in medicine 55.2016,6: 193-199. http://dx.doi.org/10.3414/ME15-01-0099
  • Lablans M; Kadioglu D; Mate S; Leb I; ProkoschHU; Ückert F: Strategien zur Vernetzung von Biobanken. Bundesgesundheitsblatt – Gesundheitsforschung – Gesundheitsschutz 59.2016: 373.  http://dx.doi:10.1007/s00103-015-2299-y |  http://link.springer.com/article/10.1007%2Fs00103-015-2299-y
  • Ramme AJ, Guss MS, Vira S, Vigdorchik JM, Newe A, Raithel E, Chang G: Evaluation of automated volumetric cartilage quantification for hip preservation surgery. The journal of arthroplasty 31.2016,1: 64-69. DOI: http://dx.doi.org/10.1016/j.arth.2015.08.009

2015

  • Wagner S, Beckmann MW, Wullich B, Seggewies C, Ries, M, Bürkle T, Prokosch HU: Analysis and classification of oncology activities on the way to workflow based single source documentation in clinical information systems. BMC Medical Informatics and Decision Making 15.2015,1: 107. DOI: 10.1186/s12911-015-0231-x;  http://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-015-0231-x
  • Ruile G, Djanatliev A, Kriza C, Meier F, Leb I, Kalender W, Kolominsky-Rabas P: Screening for breast, cancer with breast-CT in a ProHTA simulation. J. Comp. Eff. Res. 4.2015, 6: 553–567. http://www.futuremedicine.com/doi/abs/10.2217/cer.15.42
  • Raschenberger J, Kollerits B, Titze S, Köttgen A, Bärthlein B, Ekici AB, Forer L, Schönherr S, Weissensteiner H, Haun M, Wanner C, Eckardt KU, Kronenberg F: Do telomeres have a higher plasticity than thought? Results from the German Chronic Kidney Disease (GCKD) study as a high-risk population. Exp Gerontol. (2015-09-28) DOI: 10.1016/j.exger.2015.09.019. http://www.ncbi.nlm.nih.gov/pubmed/26423240
  • Bauer C, Ganslandt Th, Baum B, Christoph J, Engel I, Löbe M, Mate S, Stäubert S, Drepper J, Prokosch HU, Winter A, Sax U: Integrated Data Repository Toolkit (IDRT): A suite of programs to facilitate health analytics on heterogeneous medical data. Methods of information in medicine (2015) http://dx.doi.org/10.3414/ME15-01-0082.
  • Castellanos I, Kraus S, Toddenroth D, Prokosch HU, Bürkle T:Using Arden syntax medical logic modules to reduce overutilizationof laboratory tests for detection of bacterial infections—Success or failure? Artificial intelligence in medicine (2015) http://dx.doi.org/10.1016/j.artmed.2015.09.005.
  • Kraus S, Drescher c, Sedlmayr M, Castellanos I, Prokosch HU, Toddenroth D: Using Arden syntax for the creation of a multi-patient surveillance dashboard. Artificial intelligence in medicine (2015) http://dx.doi.org/10.1016/j.artmed.2015.09.009.
  • Kraus S, Enders M, Prokosch HU, Castellanos I, Lenz R, Sedlmayr M: Accessing complex patient data from Arden Syntax Medical Logic Modules. Artificial intelligence in medicine (2015) http://dx.doi.org/10.1016/j.artmed.2015.09.003.
  • Newe A, Wimmer St, Neubert A, Becker L, Prokosch HU, Beckmann MW, Fietkau R, Forster Chr, Neurath MF, Schett G, Ganslandt T: Towards a computable data corpus of temporal correlations between drug administration and lab value changes. PLoSOne (24. Aug. 2015): DOI: 10.1371/journal.pone.0136131. journals.plos.org/plosone/article
  • Raschenberger J, Kollerits B, Titze St, Köttgen A, Bärthlein B, Ekici AB, Forer L, Schönherr S, Weissensteiner H, Haun M, Wanner Chr, Eckardt KU, Kronenberg F: Association of relative telomere length with cardiovascular disease in a large chronic kidney disease cohort: The GCKD study. Atherosclerosis 242.2015: 529-534. www.atherosclerosis-journal.com/article/S0021-9150%2815%2930083-6/ppt
  • Ramme AJ, Guss MS, Vira Sh, Vigdorchik JM, Newe A, Raithel E, Chang G: Evaluation of automated volumetric cartilage quantification for hip preservation surgery. The journal of arthroplasty: (14 Aug 2015) doi:10.1016/j.arth.2015.08.009 www.sciencedirect.com/science/article/pii/S0883540315007305
  • Krompass D, Esteban C, Tresp V, Sedlmayr M, GanslandtT: Exploiting latent embeddings of nominal clinical data for predicting hospital readmission. KI 29.2015,2: 153-159 link.springer.com/article/10.1007/s13218-014-0344-x
  • Sonntag D, Tresp V, Zillner S, Cavallaro A, Hammon M, Reis A, Sedlmayr M, Ganslandt T, Prokosch HU, Budde K, Schmidt D, Hinrichs D, Wittenberg T, Daumke Ph, Oppelt PG: The clinical data intelligence project. Informatik-Spektrum 38.2015: dx.doi.org/10.1007/s00287-015-0913-x
  • Soto-Rey I, N’Dja A, Cunningham J, Newe A, Trinczek B, Lafitte C, Sedlmayr B, Fritz F: User satisfaction evaluation of the EHR4CR query builder: a multisite patient count cohort system. BioMed Research International Art. 801436 www.hindawi.com/journals/bmri/aa/801436/
  • McCowan C, Thomson E, Szmigielski CA; Kalra D, Sullivan FM, Prokosch HU, Dugas M, Ford I: Using electronic health records to support clinical trials: a report on stakeholder engagement for EHR4CR. BioMed Research International Art. 707891 www.hindawi.com/journals/bmri/aa/707891/
  • Schaller S, Marinova-Schmidt V, Gobin J, Criegee-Rieck M, Griebel L, Engel S, Stein V, Grässel E, Kolominsky-Rabas P: Tailored e-Health services for the dementia care setting: a pilot study of ‘eHealthMonitor’. BMC Medical Informatics and Decision Making 2015, 15:58 doi:10.1186/s12911-015-0182-2 www.biomedcentral.com/1472-6947/15/58
  • Dugas M, Jöckel KH, Friede T, Gefeller O, Kieser M, Marschollek M, Ammenwerth E, Röhrig R, Knaup-Gregori P, Prokosch HU: Memorandum “Open Metadata”: open access to documentation forms and item catalogs in healthcare. Methods of Information in Medicine ePub dx.doi.org/10.3414/ME15-05-0007
  • Kolominsky-Rabas P, Djanatliev A, Wahlster Ph, Gantner-Bär M, Hofmann B, German R, Sedlmayr M, Reinhardt E, Schüttler J, Kriza C: Technology foresight for medical device development through hybrid simulation: The ProHTA Project. Technological forecasting and social change 97.2015: 105–114. www.sciencedirect.com/science/article/pii/S0040162513003119
  • Mate S, Köpcke F, Toddenroth D, Martin M, Prokosch HU, Bürkle T, Ganslandt T: Ontology-based data integration between clinical and research systems. PLoSOne 10,2015,1: e0116656. doi:10.1371/journal.pone.0116656. journals.plos.org/plosone/article
  • Meier F, Maas R, Sonst A, Patapovas A, Müller F, Plank-Kiegele B, Pfistermeister B, Schöffski O, Bürkle T, Dormann H: Adverse drug events in patients admitted to an emergency department: an analysis of direct costs. Pharmacoepidemiol Drug Saf. 2015 Feb;24(2):176-86. doi: 10.1002/pds.3663. onlinelibrary.wiley.com/enhanced/doi/10.1002/pds.3663
  • Griebel L, Prokosch H, Köpcke F, Toddenroth D, Christoph J, Leb I, Engel I, Sedlmayr M: A scoping review of cloud computing in healthcare. BMC Medical Informatics and Decision Making 2015, 15: 17 (19 March 2015) DOI 10.1186/s12911-015-0145-7www.biomedcentral.com/content/pdf/s12911-015-0145-7.pdf
  • Newe A: Towards an easier creation of three-dimensional data for embedding into scholarly 3D PDF (Portable Document Format) files. PeerJ 3 (2015): e794 dx.doi.org/10.7717/peerj.794
  • Christoph J,  Griebel L, Leb I, Engel I, Köpcke F, Toddenroth D, Prokosch HU, Laufer J, Marquardt K, Sedlmayr M: Secure secondary use of clinical data with cloud-based NLP services: Towards a highly scalable research infrastructure. Methods of information in medicine 54.2015,3: 276-282.  http://methods.schattauer.de/en/contents/archivestandard/issue/2214/manuscript/23679.html
  • Burgun A, Oksen DV, Kuchinke W, Prokosch HU, Ganslandt T, Buchan I, van Staa T, Cunningham J, Gjerstorff ML, Dufour J.C, Gibrat JF, Nikolski M, Verger P, Cambon-Thomsen A, Masella C, Lettieri E, Bertele P, Salokannel M, Thiebaut R, Persoz C, Chêne G, Ohmann C: Proposal for a European public health research infrastructure for sharing of health and medical administrative data (PHRIMA). MEDINFO 2015: eHealth-enabled health (MEDINFO 2015, São Paulo, Brasilien, 19.-23. Aug. 2015). Hg. Sarkar IN, Georgiou A, Mazzoncini de Azevedo Marques P. Amsterdam u.a. : IOS Pr., 2015:  1005. (Studies in health technology and informatics; 216)
  • Ganslandt T, Hackl WO: Findings from the clinical information systems perspective. Yearbook of medical informatics 10.2015,1:  90-94.

2014

    • Vollmer AM, Prokosch HU, Bürkle T: Identifying barriers for implementation of computer based nursing documentation. Nursing Informatics 2014. Ed. Saranto K, Weaver CA, Chang P. Amsterdam; Berlin; Tōkyō; Washington, DC: IOS Pr., 2014. (Studies in health technology and informatics; 201): 94-101.
    • Patapovas A, Pfistermeister B, Tarkhov A, Terfloth L, Maas R, Fromm MF, Kornhuber J, Prokosch HU, Bürkle T: The effect object paradigm–a means to support medication safety with clinical decision support. Ed. Lovic C; Séroussi B; hasman A; Pape-Haugaard L; Saka O; Andersen SK. Amsterdam; Berlin; Tōkyō; Washington, DC: IOS Pr., 2014. (Studies in health technology and informatics; 205): 1065-1069.
    • Christoph J, Griebel L, Leb I, Engel I, Köpcke F, Toddenroth D, Prokosch HU, Laufer J, Marquardt K, Sedlmayr M: Secure secondary use of clinical data with cloud-based NLP services: Towards a highly scalable research infrastructure. Methods of information in medicine Nov. 2014 dx.doi.org/10.3414/ME13-01-0133 [ePub ahead of print]www.ncbi.nlm.nih.gov/pubmed/
    • Krumm R, Semjonow A, Tio J, Duhme H, Bürkle T, Haier J, Dugas M, Breil B. The need for harmonized structured documentation and chances of secondary use – Results of a systematic analysis with automated form comparison for prostate and breast cancer. Journal of biomedical informatics 2014 Apr 18. pii: S1532-0464(14)00093-8.dx.doi.org/10.1016/j.jbi.2014.04.008. [Epub ahead of print]
    • Pfistermeister B, Saß A, Criegee-Rieck M, Bürkle T, Fromm MF, Maas R (2014) Inconsistencies and misleading information in officially approved prescribing information from three major drug markets. Clin Pharmacol Ther. Jul 25. doi: 10.1038/clpt.2014.156. [Epub ahead of print] www.ncbi.nlm.nih.gov/pubmed/25062063
    • Toddenroth D; Ganslandt T; Castellanos I; Prokosch HU; Bürkle T (2014) Employing heat maps to mine associations in structured routine care data. Artificial Intelligence in Medicine 60.2014: 79-88
    • Löbe M, Baum B, Christoph J, Drepper J, Ganslandt Th, Engel I, Mate S, Prokosch HU, Sax U, Stäubert S, Winter A (2014) Integrated Repository Toolkit (IDRT) – Werkzeuge zum Betrieb klinischer Data Warehouses auf Basis von i2b2. MDI 2.2014: 48-48.
    • Köpcke F, Prokosch HU (2014) Employing computers for the recruitment into clinical trials: a comprehensive systematic review. JMIR 16.2014 www.jmir.org/2014/7/e161/
    • Trinczek B, Köpcke F, Leusch T, Majeed RW, Schreiweis B, Wenk J. Bergh B, Ohmann C, Röhrig R, Prokosch HU, Dugas M (2014) Design and multicentric Implementation of a generic Software architecture for patient recruitment systems re-using existing HIS tools and routine patient data. Applied clinical informatics 5.2014,1: 264-283.aci.schattauer.de/en/home/issue/special/manuscript/20961/show.html
    • Ammenwerth E; Aly AF; Bürkle T; Christ P; Dormann H; Friesdorf W; Haas C; Haefeli WE; Jeske M; Kaltschmidt J; Menges K; Möller H; Neubert A; Rascher W; Reichert H; Schuler J; Schreier G; Schulz S; Seidling HM; Stühlinger W; Criegee-Rieck M (2014) Zum Einsatz von Informationstechnologie zur Verbesserung der Arzneimitteltherapiesicherheit (Memorandum AMTS-IT) | Memorandum on the use of information technology to improve medication safety (Memorandum AMTS-IT). GMS Medizinische Informatik, Biometrie und Epidemiologie; VOL: 10 (1); DOC03 /20140218/ www.egms.de/pdf/journals/mibe/2014-10/mibe000152.pdf
    • Dugas M; Jöckel KH; Gefeller O; Knaup-Gregori P; Friede T; Ammenwerth E; Kieser M; Prokosch HU (2014) Freier Zugang zu Dokumentationsformularen und Merkmalskatalogen im Gesundheitswesen. Memorandum „Open Metadata“ | Open access to documentation forms and item catalogs in healthcare. Memorandum „Open Metadata“. GMS Medizinische Informatik, Biometrie und Epidemiologie; VOL: 10 (1); DOC01 /20140218/www.egms.de/pdf/journals/mibe/2014-10/mibe000150.pdf
    • Zunner C, Ganslandt T, Prokosch HU, Bürkle T (2014) A reference architecture for semantic interoperability and its practical application. Studies in health technology and informatics 198: 40-46.ebooks.iospress.nl/volumearticle/36144
    • Maier C, Bürkle T, Prokosch HU, Ganslandt T (2014) Case-based visualization of a patient cohort using SEER epidemiologic data. Studies in health technology and informatics 198: 136-140.ebooks.iospress.nl/volumearticle/36156
    • Müller F, Dormann H, Pfistermeister B, Sonst A, Patapovas A, Vogler R, Hartmann N, Plank-Kiegele B, Kirchner M, Bürkle T, Maas R. (2014) Application of the Pareto principle to identify and address drug-therapy safety issues. Eur J Clin Pharmacol. 2014 Mar 21. [Epub ahead of print] www.ncbi.nlm.nih.gov/pubmed/24652477
    • Kraus S, Castellanos I, Toddenroth D, Prokosch HU, Bürkle T: Integrating Arden-Syntax-based clinical decision support with extended presentation formats into a commercial patient data management system. J Clin Monit Comput. 2014 Oct;28(5):465-73. doi: 10.1007/s10877-013-9430-0.link.springer.com/article/10.1007%2Fs10877-013-9430-0
    • Bock F, Matthaei M, Reinhard T, Böhringer D, Christoph J, Ganslandt T, Cursiefen C.: High-dose subconjunctival cyclosporine a implants do not affect corneal neovascularization after high-risk keratoplasty. Ophthalmology. 2014 Sep;121(9):1677-82. doi: 10.1016/j.ophtha.2014.03.016.www.sciencedirect.com/science/article/pii/S0161642014002401
    • Gantner-Bär M, Meier F, Kolominsky-Rabas P, Djanatliev A, Metzger A, Voigt W, Prokosch HU, Sedlmayr M.: Prospective Assessment of an innovative test for prostate cancer screening using the VITA process model framework. Stud Health Technol Inform. 2014;205:236-40.ebooks.iospress.nl/publication/37483
    • Griebel L, Sedlmayr B, Prokosch HU, Criegee-Rieck M, Sedlmayr M.: Key factors for a successful implementation of personalized e-health services. Stud Health Technol Inform. 2013;192:965.ebooks.iospress.nl/publication/34181
    • Patapovas A, Pfistermeister B, Tarkhov A, Terfloth L, Maas R, Fromm MF, Kornhuber J, Prokosch HU, Bürkle T.: The effect object paradigm–a means to support medication safety with clinical decision support. Stud Health Technol Inform. 2014;205:1065-9.ebooks.iospress.nl/publication/37654

2013

    • Griebel L, Sedlmayr B, Prokosch HU, Criegee-Rieck M, Sedlmayr M. Key factors for a successful implementation of personalized e-health services. Stud Health Technol Inform. 2013,192: 965.ebooks.iospress.nl/publication/34181
    • Vollmer AM, Skonetzki-Cheng S, Prokosch HU. Analysis of the interface and data transfer from ICU to normal wards in a German university hospital. Stud Health Technol Inform. 2013,192: 1104.ebooks.iospress.nl/publication/34320
    • Bürkle T, Martin M, Schütz A, Starke K, Wagner S, Ries M, Wullich B, Beckmann MW, Prokosch HU: Workflows in cancer treatment and their influence upon clinical documentation. Stud Health Technol Inform. 2013;192:1181. www.ncbi.nlm.nih.gov/pubmed/23920955
    • Kraus S, Castellanos I, Toddenroth D, Prokosch H-U, Bürkle T: Integrating Arden-Syntax-based clinical decision support with extended presentation formats into a commercial patient data management system. J Clin Monit Comput. 2013 Jan 26. [Epub ahead of print]www.ncbi.nlm.nih.gov/pubmed/23354988
    • Zunner C, Bürkle T, Prokosch HU, Ganslandt T: Mapping local laboratory interface terms to LOINC at a German University Hospital using RELMA 5: a semi-automated approach. J Am Med Inform Assoc. 2013 Mar 1;20(2):293-7 www.ncbi.nlm.nih.gov/pubmed/22802268
    • Castellanos I; Schüttler J; Prokosch H; Bürkle T: Einführung eines Patientendatenmanagementsystems – Auswirkungen auf die intensivmedizinische Dokumentation. Der Anaesthesist; [ePub ahead of print] www.ncbi.nlm.nih.gov/pubmed/24126951
    • Sedlmayr B; Patapovas A; Kirchner M; Sonst A; Müller F; Pfistermeister B; Plank-Kiegele B; Vogler R; Criegee-Rieck M; Prokosch HU; Dormann H; Maas R; Bürkle T: Comparative evaluation of different medication safety measures for the emergency department: physicians‘ usage and acceptance of training, poster, checklist and computerized decision support BMC Medical Informatics and Decision Making 2013, 13: 79www.ncbi.nlm.nih.gov/pubmed/23890121
    • Bürkle T; Müller F; Patapovas A; Sonst A; Pfistermeister B; Plank-Kiegele B; Dormann H; Maas R: A new approach to identify, classify and count drug-related events. In: BJCP 76 (2013), Nr. Supp. 1, S. 56-68 [doi>10.1111/bcp.12189]www.ncbi.nlm.nih.gov/pubmed/24007453
    • Pfistermeister, Barbara; Schenke, Carolus; Kornhuber, Johannes; Bürkle, Thomas; Fromm, M.F.; Maas, Renke: Different indications, warnings and precautions, and contraindications for the same drug – an international comparison of prescribing information for commonly used psychiatric drug . In: Pharmacoepidemiol Drug Safety 22 (2013), Nr. 3, S. 329-333 www.ncbi.nlm.nih.gov/pubmed/23280570
    • Köpcke, Felix; Trinczek, B.; Majeed, R.; Schreiweis, B.; Wenk, J.; Leusch, T.; Ganslandt, Thomas: Evaluation of data completeness in the electronic health record for the purpose of patient recruitment into clinical trials: a retrospective analysis of element presence . In: BMC Medical Informatics and Decision Making (2013), S. doi:10.1186/1472-6947-13-37 www.biomedcentral.com/1472-6947/13/37
    • Patapovas, Andrius; Dormann, Harald; Sedlmayr, Brita; Kirchner, Melanie; Sonst, A.; Müller, F.; Pfistermeister, Barbara; Plank-Kiegele, Bettina; Vogler, R.; Maas, Renke; Criegee-Rieck, Manfred; Prokosch, Hans-Ulrich; Bürkle, Thomas: Medication safety and knowledge-based functions: A stepwise approach against information overload . In: BJCP (2013) [ePub ahead of print]www.ncbi.nlm.nih.gov/pubmed/24007449 | link.springer.com/article/10.1007%2Fs10877-013-9430-0
    • Oberländer, Martina; Linnebacher, Michael; König, Alexandra; Bogoevska, Valentina; Brodersen, Christiane; Kaatz, Regina; Krohn, Mathias; Hackmann, Michael; Ingenerf, Josef; Christoph, Jan; Mate, Sebastian; Prokosch, Hans-Ulrich; Yekebas, Emre F.; Thorns, Christoph; Büning, Jürgen; Prall, Friedrich; Uhlig, Ria; Roblick, Uwe J.; Izbicki, Jakob R.; Klar, Ernst; Bruch, Hans-Peter; Vollmar, Brigitte; Habermann, Jens K.: The ‚North German Tumor Bank of Colorectal Cancer‘: status report after the first 2 years of support by the German Cancer Aid Foundatioin . In: Langenbecks Arch. Surg. 398 (2013), S. 251-258 [doi>10.1007/s00423-012-1043-4]www.ncbi.nlm.nih.gov/pubmed/23292500 | link.springer.com/article/10.1007%2Fs00423-012-1043-4
    • Dormann, Harald; Sonst, A.; Müller, F.; Vogler, R.; Patapovas, Andrius; Pfistermeister, Barbara; Plank-Kiegele, Bettina; Kirchner, Melanie; Hartmann, N.; Bürkle, Thomas; Maas, Renke: Unerwünschte Arzneimittelereignisse bei betagten Notaufnahmepatienten – Bedeutung der potenziell inadäquaten Medikation für ältere Menschen (PRISCUS) . In: Dt. Ärzteblatt 110 (2013), Nr. 13, S. 213-219 [doi>10.3238/arztebl.2013.0213]www.ncbi.nlm.nih.gov/pubmed/23596501 |www.aerzteblatt.de/int/archive/article
    • Bürkle T, Müller F, Patapovas A, Sonst A, Pfistermeister B, Plank-Kiegele B et al. A new approach to identify, classify and count drug-related events. BJCP 2013; 76:56–68.www.ncbi.nlm.nih.gov/pubmed/24007453 | onlinelibrary.wiley.com/doi/10.1111/bcp.12189/abstract
    • Neubert A, Dormann H, Prokosch H, Bürkle T, Rascher W, Sojer R et al. E-pharmacovigilance: development and implementation of a computable knowledge base to identify adverse drug reactions. BJCP 2013; 76:69–77. www.ncbi.nlm.nih.gov/pubmed/23586589 | onlinelibrary.wiley.com/doi/10.1111/bcp.12127/abstract
    • Patapovas A, Dormann H, Sedlmayr B, Kirchner M, Sonst A, Müller F et al. Medication safety and knowledge-based functions: a stepwise approach against information overload. Br J Clin Pharmacol 2013; 76:14–24. www.ncbi.nlm.nih.gov/pubmed/24007449 | onlinelibrary.wiley.com/doi/10.1111/bcp.12190/abstract;jsessionid=DF0AB1675422092B2F6161ED789BB6A9.f03t04

2012

    • Ries, Markus ; Golcher, Henriette ; Prokosch, Hans-Ulrich ; Beckmann, Matthias W. ; Bürkle, Thomas: An EMR based cancer diary – Utilisation and initial usability evaluation of a new cancer data visualization tool. In: Stud Health Technol Inform 180 (2012), S. 656-660www.ncbi.nlm.nih.gov/pubmed/22874273
    • Strobel, Julian ; Jörn, H. ; Weisbach, Volker ; Ganslandt, Thomas ; Zimmermann, Robert ; Eckstein, Reinhold: Audit on the usage of plasma derived/recombinant coagulation factor concentrates at a German University Hospital . In: Vox Sang 103 (2012), Nr. 2, S. 122-129 [doi>10.1111/j.1423-0410.2012.01588.x]onlinelibrary.wiley.com/doi/10.1111/j.1423-0410.2012.01588.x/abstract
    • Gantner-Bär, Marion ; Djanatliev, Anatoli ; Prokosch, Hans-Ulrich ; Sedlmayr, Martin: Conceptual modeling for prospective health technology assessment. In: Stud Health Technol Inform 180 (2012), S. 33-37 www.ncbi.nlm.nih.gov/pubmed/22874147
    • Prokosch, Hans-Ulrich ; Christoph, Jan ; Beck, Andreas ; Köpcke, Felix ; Stephan, Stefanie ; Beckmann, Matthias W. ; Rau, Tilman ; Hartmann, Arndt ; Wullich, Bernd ; Breil, B. ; Eckardt, Kai-Uwe ; Titze, Stephanie ; Habermann, J.K. ; Ingenerf, Josef ; Hackmann, M. ; Ries, Markus ; Bürkle, Thomas ; Ganslandt, Thomas: Designing and implementing a biobanking IT framework for multiple research scenarios. In: Stud Health Technol Inform 180 (2012), S. 559-563www.ncbi.nlm.nih.gov/pubmed/22874253
    • Ganslandt, Thomas ; Sax, U. ; Löbe, M. ; Drepper, J. ; Bauer, C. ; Baum, B. ; Christoph, Jan ; Mate, Sebastian ; Quade, M. ; Stäubert, S. ; Prokosch, Hans-Ulrich: Integrated Data Repository Toolkit: Werkzeuge zur Nachnutzung medizinischer Daten für die Forschung . In: Goltz, Ursula ; Magnor, Marcus A. ; Appelrath, Hans-Jürgen ; Matthies, Herbert . ; Balke,Wolf-Thilo ; Wolf, Lars C. (Hrsg.) : GI-Jahrestagung (Jahrestagung der Gesellschaft für Informatik, Braunschweig, Sep. 2012). 2012, S. 1252-1259.
    • Köpcke, Felix ; Kraus, Stefan ; Scholler, Axel ; Nau, Carla ; Schüttler, Jürgen ; Prokosch, Hans-Ulrich: Secondary use of routinely collected patient data in a clinical trial: An evaluation of the effects on patient recruitment and data acquisition. In: Int J Med Inform 81 (2012), Nr. 12, S. 185-192. Doi 10.1016/j.ijmedinf.2012.11.008 [doi>10.1016/j.ijmedinf.2012.11.008]www.sciencedirect.com/science/article/pii/S1386505612002201
    • Mayr, Andreas ; Gefeller, Olaf ; Prokosch, Hans-Ulrich ; Pirkl, Anna ; Fröhlich, Antje ; de Zwaan, Martina: Web-based data collection yielded an additional response bias – but had no direct effect on outcome scales . In: J Clin Epidemiol. 65 (2012), Nr. 9, S. 970-977www.sciencedirect.com/science/article/pii/S0895435612000820
  • Eckardt KU, Bärthlein B, Baid-Agrawal S, Beck A, Busch M, Eitner F, Ekici AB, Floege J, Gefeller O, Haller H, Hilge R, Hilgers KF, Kielstein JT, Krane V, Köttgen A, Kronenberg F, Oefner P, Prokosch HU, Reis A, Schmid M, Schaeffner E, Schultheiss UT, Seuchter SA, Sitter T, Sommerer C, Walz G, Wanner C, Wolf G, Zeier M, Titze S: The German Chronic Kidney Disease (GCKD) study: design and methods. Nephrol Dial Transplant. 2012 Apr;27(4):1454-60.

2011

    • Santana S, Lausen B, Bujnowska-Fedak M, Chronaki CE, Prokosch HU, Wynn R: Informed citizen and empowered citizen in health: results from an European survey. BMC Fam Pract. 2011;12: 20
    • Bundschuh BB, Majeed RW, Bürkle T, Kuhn K, Sax U, Seggewies C, Vosseler C, Röhrig R: Quality of human-computer interaction – results of a national usability survey of hospital-IT in Germany. BMC Med Inform Decis Mak. 2011;11: 69
    • Weih M, Bachmeier C, Degirmenci U, Sojer R, Kreil S, Thürauf N, Prokosch HU, Hiemke C, Kornhuber J: [Assessment of Possible Drug-Drug Interactions in Psychopharmacotherapy after Hospital Discharge using an Interactive Database.] Fortschr Neurol Psychiatr. 2011;79(2): 92-96
    • Bürkle Thomas: Computergestützte Erkennung von kritischen Krankheitsbildern. Journal für Anästhesie und Intensivbehandlung. 2011;19 (1): 12-15.
    • Oschem M, Mahler V, Prokosch HU: Objectifying user critique. A means of continuous quality assurance for physician discharge letter composition. Methods Inf Med. 2011;50(1): 23-35
    • Kirchner M, Bürkle T, Patapovas A, Mathews A, Sojer R, Müller F, Dormann H, Maas R, Prokosch HU: Building the technical infrastructure to support a study on drug safety in a general hospital. Stud Health Technol Inform. 2011;169: 325-9
    • Mate S, Bürkle T, Köpcke F, Breil B, Wullich B, Dugas M, Prokosch HU, Ganslandt T: Populating the i2b2 database with heterogeneous EMR data: a semantic network approach. Stud Health Technol Inform. 2011;169: 502-6
    • Prokosch HU, Ries M, Beyer A, Schwenk M, Seggewies C, Köpcke F, Mate S, Martin M, Bärthlein B, Beckmann MW, Stürzl M, Croner R, Wullich B, Ganslandt T, Bürkle T: IT Infrastructure Components to Support Clinical Care and Translational Research Projects in a Comprehensive Cancer Center. Stud Health Technol Inform. 2011;169: 892-6
    • Sedlmayr M, Prokosch HU, Münch U: Towards smart environments using smart objects. Stud Health Technol Inform. 2011;169: 315-319.
  • Ganslandt T, Mate S, Helbing K, Sax U, Prokosch HU: Unlocking data for clinical research – the German i2b2 experience. Appl clinical informatics 2.2011,1: 116-127. doi: 10.4338/ACI-2010-09-CR-0051.

2010

    • Bürkle T, Castellanos I, Tech H, Prokosch HU, N1-Medical Informatics UEGtT. Implementation of a patient data management system – an evaluation study of workflow alterations. Stud.Health Technol.Inform 2010; 160(Pt 2):1256–60.
    • Dormann H, Diesch K, Ganslandt T, Hahn EG, N1-Klinikum Furth. Numerical parameters and quality indicators in a medical emergency department. Dtsch.Arztebl.Int 2010/04; 107(15):261–7.
    • Dugas M, Lange M, Müller-Tidow C, Kirchhof P, Prokosch HU. Routine data from hospital information systems can support patient recruitment for clinical studies. Clinical Trials 2010:183–9.
    • Kirn S, ed. Process of change in organizations through eHealth: Proceedings of the 2nd International eHealth Symposium, June 7-8, 2010, Stuttgart, Germany. Stuttgart; 2010.
    • Meier F, Pflaum A, Münch U, Flügel C, Gehrmann V, Hupp J et al., eds. Deployment of a wireless sensor network to support and optimize logistical processes in a clinical environment; 2010. (Proceedings of the 6th European Workshop on Smart Objects: Systems, Technologies and Applications (RFID SysTech 2010); Ciudad Real 2010).
    • Rienhoff O, Piccolo U, Schneider B, editors. Expert Systems and Decision Support in Medicine. Berlin: Springer; 2010.
    • Sedlmayr M, Becker A, Prokosch HU, Flügel H, Meier F. OPAL Health – A Smart Object Network for Hospital Logistics. In: Kirn S, editor. Process of change in organizations through eHealth: Proceedings of the 2nd International eHealth Symposium, June 7-8, 2010, Stuttgart, Germany. Stuttgart; 2010.
    • Sedlmayr M, Rose T. Unterstützung medizinischer Leitlinien – von der zielorientierten Modellierung zur proaktiven Assistenz. In: Hansen H, Karagiannis D, Fill H, editors. Business Services: Konzepte, Technologien, Anwendungen. 9. Internationale Tagung Wirtschaftsinformatik 25-27 Februar 2009, Wien. Wien; 2010. p. 739–48.
    • Prokosch HU, Beck A, Ganslandt T, Hummel M, Kiehntopf M, Sax U, Ückert F, Semler S: IT Infrastructure Components for Biobanking Appl Clin Inform. 2010;1(4): 419-29.
    • Dormann H, Diesch K, Ganslandt T, Hahn EG: Numerical parameters and quality indicators in a medical emergency department. Dtsch Arztebl Int. 2010;107(15): 261-7.
  • Bürkle T, Castellanos I, Tech H, Prokosch HU: Implementation of a patient data management system – an evaluation study of workflow alterations. Stud Health Technol Inform. 2010;160(Pt 2): 1256-60.

2009

    • Šuc J, Prokosch HU, Ganslandt T. Applicability of Lewin s change management model in a hospital setting. Methods Inf Med. 2009;48(5):419-28.
    • Prokosch HU, Ganslandt T. Perspectives for medical informatics. Reusing the electronic medical record for clinical research. Methods Inf Med. 2009;48(1):38-44.
    • Kammerer FJ, Frankewitsch T, Prokosch HU. Design of a web portal for interdisciplinary image retrieval from multiple online image resources. Methods Inf Med. 2009;48(4):361-70.
    • Händel A, Junemann AG, Prokosch HU, Beyer A, Ganslandt T, Grolik R, et al. [Web-based electronic patient record as an instrument for quality assurance within an integrated care concept]. Klin Monbl Augenheilkd. 2009 Mar;226(3):161-7.
    • Grässel E, Bleich S, Meyer-Wegener K, Schmid U, Kornhuber J, Prokosch HU. [The internet as an information source for family caregivers of dementia patients]. Psychiatr Prax. 2009 Apr;36(3):115-8.
    • Sedlmayr M, Becker A, Muench U, Meier F, Prokosch HU, Ganslandt T: Towards a smart object network for clinical services. AMIA Annu Symp Proc. 2009;2009: 578-82
    • Castellanos I, Bürkle T, Prokosch HU, Schüttler J: Concept for the hospital-wide implementation of a patient data management system at a large clinical center – an interdisciplinary challenge. Anästhesiol Intensivmed. 2009;50: 618
  • Hansen H, Karagiannis D, Fill H, editors. Business Services: Konzepte, Technologien, Anwendungen 9 Internationale Tagung Wirtschaftsinformatik 25-27 Februar 2009, Wien. Wien; 2009.

2008

    • Wangberg SC, Andreassen HK, Prokosch HU, Santana SM, Sørensen T, Chronaki CE. Relations between Internet use, socio-economic status (SES), social support and subjective health. Health Promot Int. 2008 23(1):70-7.
    • Lang M, Burkle T, Laumann S, Prokosch HU. Process mining for clinical workflows: challenges and current limitations. Stud Health Technol Inform. 2008;136:229-34.
    • Kummervold PE, Chronaki CE, Lausen B, Prokosch HU, Rasmussen J, Santana S, et al. eHealth trends in Europe 2005-2007: a population-based survey. J Med Internet Res. 2008;10(4):e42.
  • Burkle T, Beisig A, Ganslmayer M, Prokosch HU. A randomized controlled trial to evaluate an electronic scoring tool in the ICU. Stud Health Technol Inform. 2008;136:279-84.

2007

    • Lang M, Kirpekar N, Burkle T, Laumann S, Prokosch HU. Results from data mining in a radiology department: the relevance of data quality. Stud Health Technol Inform. 2007;129(Pt 1):576-80.
    • Klein A, Prokosch HU, Muller M, Ganslandt T. Experiences with an interoperable data acquisition platform for multi-centric research networks based on HL7 CDA. Methods Inf Med. 2007;46(5):580-5.
  • Dumitru RC, Burkle T, Potapov S, Lausen B, Wiese B, Prokosch HU. Use and perception of internet for health related purposes in Germany: results of a national survey. Int J Public Health. 2007;52(5):275-85.

2006

    • Andreassen HK, Bujnowska-Fedak MM, Chronaki CE, Dumitru RC, Pudule I, Santana S, Voss H, Wynn R: European citizens‘ use of E-health services: a study of seven countries. BMC Public Health. 10.2007,7: 53.
    • Bürkle T, Engel PA: When usage and user satisfaction differ: the case of an electronic discharge summary. Medinfo. 2007;12(Pt 2): 1093-7
  • Mildenberger P, Kotter E, Riesmeier J, Onken M, Kauer T, Eichelberg M, Walz M: [The DICOM-CD-Project of the German Radiology Association–an overview of the content and results of a pilot study in 2006] Rofo. 2007;179(7): 676-82

2005

    • Müller ML, Ückert F, Bürkle T, Prokosch HU. Cross-institutional data exchange using the clinical document architecture (CDA). Int J Med Inform. 2005 Mar;74(2-4):245-56.
    • Gerdsen F, Müller S, Jablonski S, Prokosch HU. Standardized exchange of medical data between a research database, an electronic patient record and an electronic health record using CDA/SCIPHOX. AMIA Annu Symp Proc. 2005:963.
    • Ganslandt T, Kunzmann U, Diesch K, Pálffy P, Prokosch HU. Semantic challenges in database federation: lessons learned. Stud Health Technol Inform. 2005;116:551-6.
  • Frankewitsch T, Söhnlein S, Müller M, Prokosch HU. Computed Quality Assessment of MPEG4-compressed DICOM Video Data. Stud Health Technol Inform. 2005;116:447-52.

2004

    • Müller M, Frankewitsch T, Ganslandt T, Bürkle T, Prokosch HU. The Clinical Document Architecture (CDA) enables electronic medical records to wireless mobile computing. Stud Health Technol Inform. 2004;107(Pt 2):1448-52.
    • Kunze U, Ganslandt T, Preusser P, Bürkle T, Prokosch HU, Senninger N, et al. [A multidisciplinary module for oncological documentation within a hospital information system]. Zentralbl Chir. 2004 Jan;129(1):10-3.
    • Ammenwerth E, Brender J, Nykanen P, Prokosch HU, Rigby M, Talmon J. Visions and strategies to improve evaluation of health information systems. Reflections and lessons based on the HIS-EVAL workshop in Innsbruck. Int J Med Inform. 2004 73(6):479-91.
    • Frankewitsch T, Müller M, Ganslandt T, Prokosch HU: ICD10 (German edition) Mapping to MeSH – A Combination of Common Medical and Hidden Semantic Knowledge. Medinfo. 2004: 1602.
    • Ganslandt T, Frankewitsch T, Müller ML, Kunze U, Bürkle T, Krieglstein CF, Prokosch HU: Visualization of clinical workflows merging data from multiple information systems. Medinfo. 2004: 1606.
  • Ruan W, Bürkle T, Dudeck J: Mapping various information sources to the semantic network of the giessen data dictionary server. Medinfo. 2004;2004: 430-3.

2003

    • Ückert F, Görz M, Ataian M, Tessmann S, Prokosch HU. Empowerment of patients and communication with health care professionals through an electronic health record. Int J Med Inform. 2003 70(2-3): 99-108.
    • Ückert F, Görz M, Ataian M, Tessmann S, Prokosch HU. The new navigation in EHRs: enabling teamwork of professionals and patients. Stud Health Technol Inform. 2003;95: 334-9.
    • Müller ML, Butta R, Prokosch HU. Electronic discharge letters using the Clinical Document Architecture (CDA). Stud Health Technol Inform. 2003;95: 824-8.
  • Müller ML, Burkle T, Irps S, Roeder N, Prokosch HU. The diagnosis related groups enhanced electronic medical record. Int J Med Inform. 2003 70(2-3): 221-8.

2002

    • Ückert F, Prokosch HU. Implementing security and access control mechanisms for an electronic healthcare record. Proc AMIA Symp. 2002:825-9.
    • Ückert F, Görz M, Ataian M, Prokosch HU. Akteonline-an electronic healthcare record as a medium for information and communication. Stud Health Technol Inform. 2002;90:293-7.
    • Ückert F, Ataian M, Görz M, Prokosch HU. Functions of an electronic health record. Int J Comput Dent. 2002 Apr-Jul;5(2-3):125-32.
    • Müller ML, Bürkle T, Irps S, Roeder N, Prokosch HU. Optimizing coding quality: the role of the electronic medical record in the context of diagnosis related groups. Stud Health Technol Inform. 2002;90:236-40.
    • Ganslandt T, Müller ML, Krieglstein CF, Senninger N, Prokosch HU. An XML-based system for the flexible classification and retrieval of clinical practice guidelines. Proc AMIA Symp. 2002:280-4.
    • Claussen S, Prokosch HU, Nieschlag E, Gromoll J. TestisBank: an internet-based gene sequence database of the testis. Int J Androl. 2002 25(3):175-9.
  • Bürkle T, Ganslandt T, Tübergen D, Menzel J, Kucharzik T, Neumann K, et al. Guideline based structured documentation: the final goal? Stud Health Technol Inform. 2002;90:256-61.

2001

    • Winter AF, Ammenwerth E, Bott OJ, Brigl B, Buchauer A, Graber S, et al. Strategic information management plans: the basis for systematic information management in hospitals. Int J Med Inform. 2001 Dec;64(2-3):99-109.
    • Muller ML, Ganslandt T, Eich HP, Lang K, Ohmann C, Prokosch HU. Towards integration of clinical decision support in commercial hospital information systems using distributed, reusable software and knowledge components. Int J Med Inform. 2001 Dec;64(2-3):369-77.
    • Burkle T, Ammenwerth E, Prokosch HU, Dudeck J. Evaluation of clinical information systems. What can be evaluated and what cannot? J Eval Clin Pract. 2001 Nov;7(4):373-85.
  • Frankewitsch T, Prokosch HU: Navigation in medical Internet image databases. Med Inform Internet Med. 2001;26(1): 1-15

2000

    • Hasman A, Blobel B, Dudeck J, Engelbrecht R, Gell G, Prokosch H, editors. Medial infobahn for Europe: proceedings of MIE2000 and GMDS2000. Amsterdam: IOS Press; 2000.
    • Frankewitsch T, Prokosch HU. Graphical tool navigation within the semantic network of the UMLS metathesaurus on a locally installed dDatabase. In: Hasman A, Blobel B, Dudeck J, Engelbrecht R, Gell G, Prokosch H, editors. Medial infobahn for Europe: proceedings of MIE2000 and GMDS2000. Amsterdam: IOS Press; 2010 .

1999

    • Aust B, Ganslandt T, Sitter H, Prokosch HU, Zielke A, Ohmann C: [Formal decision aids in surgery–results of a survey] Chirurg. 1999;70(7): 823-9
    • Breitmeier G, Ückert F, Prokosch HU. Intranet im Krankenhaus – MedNet-WWW: klinikumsinternes Informationssystem am KAS der Medizinischen Einrichtungen der WWU Münster. In: Ohmann D, Prokosch H, Stausberg J, Goldschmidt A, Sippel H, editors. Herausforderungen in der Informationsverarbeitung an den Universitätskliniken des Landes Nordrhein-Westfalen. Aachen: Shaker Verlag; 1999 66–74 .
    • Bürkle T, Kuch R, Prokosch HU, Dudeck J: Stepwise evaluation of information systems in an university hospital. Methods Inf Med. 1999;38(1): 9-15
    • Frankewitsch T, Prokosch HU Multimedia explorer: image database, image proxy-server and search-engine. Proc AMIA Symp. 1999;: 765-9 Mueller ML, Ganslandt T, Frankewitsch T, Krieglstein CF, Senninger N, Prokosch HU: Workflow analysis and evidence-based medicine: towards integration of knowledge-based functions in hospital information systems. Proc AMIA Symp. 1999;: 330-4
    • Prokosch HU: [Steps towards a hospital information system: illustrated by the example of the medical setting of the Westphalian Wilhelms University of Münster] Zentralbl Gynakol. 1999;121(3): 166-73
  • Ohmann D, Prokosch H, Stausberg J, Goldschmidt A, Sippel H, editors. Herausforderungen in der Informationsverarbeitung an den Universitätskliniken des Landes Nordrhein-Westfalen. Aachen: Shaker Verlag, 1999.

1998

    • Keller F, Frankewitsch T, Zellner D, Simon S, Czock D, Giehl M: Standardized structure and modular design of a pharmacokinetic database. Comput Methods Programs Biomed. 1998;55(2): 107-15
    • Zellner D, Frankewitsch T, Keller F: Synthesis of pharmacokinetic parameters of vancomycin via bootstrap methods. Int J Clin Pharmacol Ther. 1998;36(10): 554-60
  • Bürkle T, Prokosch HU, Michel A, Dudeck J: Data dictionaries at Giessen University Hospital: past–present–future. Proc AMIA Symp. 1998;: 875-9

1996

    • Zellner D, Frankewitsch T, Simon S, Keller F: Statistical analysis of heterogeneous pharmacokinetic data from the literature. Eur J Clin Chem Clin Biochem. 1996;34(7): 585-9
  • Zellner D, Schromm T, Frankewitsch T, Giehl M, Keller F: Structured data entry for reliable acquisition of pharmacokinetic data. Methods Inf Med. 1996;35(3): 261-4

1997

  • Bürkle T, Prokosch HU, Hussak G, Dudeck J: Knowledge based functions for routine use at a German university hospital setting: the issue of fine tuning. Proc AMIA Annu Fall Symp. 1997;: 61-5

1995

    • Keller F, Frankewitsch T, Zellner D, Simon S: Unifying concept of pharmacokinetics derived from drug distribution and elimination in renal failure. Int J Clin Pharmacol Ther. 1995;33(10): 546-9
    • Bürkle T, Kuch R, Passian A, Prokosch U, Dudeck J: The impact of computer implementation on nursing work patterns: study design and preliminary results. Medinfo. 1995;8 Pt 2: 1321-5
    • Prokosch HU, Amiri F, Krause D, Neek G, Dudeck J: A semantic network model for the medical record of a rheumatology clinic. Medinfo. 1995;8 Pt 1: 240-4
  • Keller F, Giehl M, Frankewitsch T, Zellner D: Pharmacokinetics and drug dosage adjustment to renal impairment. Nephrol Dial Transplant. 1995;10(9): 1516-20

1994

  • Prokosch HU, Puhle B, Müller M, Wagner R, Junghans G, Marquardt K, Dudeck J: From HIS to IAIMS: expanding the scope of information processing applications in a German university hospital. Proc Annu Symp Comput Appl Med Care. 1994;: 115-119.

1992

  • Kuwert T, Ganslandt T, Jansen P, Jülicher F, Lange H, Herzog H, Scholz D, Aulich A, Feinendegen LE: Influence of size of regions of interest on PET evaluation of caudate glucose consumption. J Comput Assist Tomogr. 1992;16(5): 789-94

1991

    • Prokosch HU, Dudeck J, Junghans G, Marquardt K, Sebald P, Michel A: WING–entering a new phase of electronic data processing at the Giessen University Hospital. Methods Inf Med. 1991;30(4): 289-98
  • Prokosch HU, Kamm S, Wieczorek D, Dudeck J: Knowledge representation in pharmacology. A possible application area for the Arden Syntax? Proc Annu Symp Comput Appl Med Care. 1991;: 243-

1989

  • Prokosch HU, Seuchter SA, Thompson EA, Skolnick MH: Applying expert system techniques to human genetics. Comput Biomed Res. 1989;22(3): 234-47

1988

  • Seuchter SA, Prokosch HU, Keir D, Skolnick MH. An expert system for genetic counseling. In: Rienhoff O, Piccolo U, Schneider B, editors. Expert Systems and Decision Support in Medicine. Berlin: Springer, 1988. p. 31–7