{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T06:40:50Z","timestamp":1785393650540,"version":"3.55.0"},"reference-count":21,"publisher":"Georg Thieme Verlag KG","issue":"03","license":[{"start":{"date-parts":[[2020,6,3]],"date-time":"2020-06-03T00:00:00Z","timestamp":1591142400000},"content-version":"vor","delay-in-days":33,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"German Federal Ministry of Education and Research","award":["FKZ 031L0073A"],"award-info":[{"award-number":["FKZ 031L0073A"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Appl Clin Inform"],"published-print":{"date-parts":[[2020,5]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>\n          Background\u2003The increasing availability of molecular and clinical data of cancer patients combined with novel machine learning techniques has the potential to enhance clinical decision support, example, for assessing a patient's relapse risk. While these prediction models often produce promising results, a deployment in clinical settings is rarely pursued.<\/jats:p><jats:p>\n          Objectives\u2003In this study, we demonstrate how prediction tools can be integrated generically into a clinical setting and provide an exemplary use case for predicting relapse risk in melanoma patients.<\/jats:p><jats:p>\n          Methods\u2003To make the decision support architecture independent of the electronic health record (EHR) and transferable to different hospital environments, it was based on the widely used Observational Medical Outcomes Partnership (OMOP) common data model (CDM) rather than on a proprietary EHR data structure. The usability of our exemplary implementation was evaluated by means of conducting user interviews including the thinking-aloud protocol and the system usability scale (SUS) questionnaire.<\/jats:p><jats:p>\n          Results\u2003An extract-transform-load process was developed to extract relevant clinical and molecular data from their original sources and map them to OMOP. Further, the OMOP WebAPI was adapted to retrieve all data for a single patient and transfer them into the decision support Web application for enabling physicians to easily consult the prediction service including monitoring of transferred data. The evaluation of the application resulted in a SUS score of 86.7.<\/jats:p><jats:p>\n          Conclusion\u2003This work proposes an EHR-independent means of integrating prediction models for deployment in clinical settings, utilizing the OMOP CDM. The usability evaluation revealed that the application is generally suitable for routine use while also illustrating small aspects for improvement.<\/jats:p>","DOI":"10.1055\/s-0040-1710393","type":"journal-article","created":{"date-parts":[[2020,6,3]],"date-time":"2020-06-03T23:58:45Z","timestamp":1591228725000},"page":"399-404","source":"Crossref","is-referenced-by-count":24,"title":["EHR-Independent Predictive Decision Support Architecture Based on OMOP"],"prefix":"10.1055","volume":"11","author":[{"given":"Philipp","family":"Unberath","sequence":"additional","affiliation":[{"name":"Department of Medical Informatics, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hans Ulrich","family":"Prokosch","sequence":"additional","affiliation":[{"name":"Department of Medical Informatics, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julian","family":"Gr\u00fcndner","sequence":"additional","affiliation":[{"name":"Department of Medical Informatics, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marcel","family":"Erpenbeck","sequence":"additional","affiliation":[{"name":"Department of Medical Informatics, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christian","family":"Maier","sequence":"additional","affiliation":[{"name":"Department of Medical Informatics, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jan","family":"Christoph","sequence":"additional","affiliation":[{"name":"Department of Medical Informatics, Friedrich-Alexander-Universit\u00e4t 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