{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T09:50:01Z","timestamp":1747216201316,"version":"3.40.5"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"type":"electronic","value":"9781643685366"}],"license":[{"start":{"date-parts":[[2024,8,30]],"date-time":"2024-08-30T00:00:00Z","timestamp":1724976000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,8,30]]},"abstract":"<jats:p>Introduction: The configuration of electronic data capture (EDC) systems has a relevant impact on data quality in studies and patient registries. The objective was to develop a method to visualise the configuration of an EDC system to check the completeness and correctness of the data definition and rules. Methods: Step 1: transformation of the EDC data model into a graphical model, step 2: Checking the completeness and consistency of the data model, step 3: correction of identified findings. This process model was evaluated on the patient registry EpiReg. Results: Using the graphical visualisation as a basis, 21 problems in the EDC configuration were identified, discussed with an interdisciplinary team, and corrected. Conclusion: The tested methodological approach enables an improvement in data quality by optimising the underlying EDC configuration.<\/jats:p>","DOI":"10.3233\/shti240843","type":"book-chapter","created":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T09:02:44Z","timestamp":1725526964000},"source":"Crossref","is-referenced-by-count":0,"title":["Visualising Data Models of Patient Registries and Clinical Studies \u2013 A Method for Quality Check of EDC Systems"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9564-9467","authenticated-orcid":false,"given":"Beatrice","family":"Coldewey","sequence":"first","affiliation":[{"name":"Institute of Medical Informatics, RWTH Aachen University, Germany"}]},{"given":"Philipp","family":"Honrath","sequence":"additional","affiliation":[{"name":"Department of Neurology, Epilepsy Section, RWTH Aachen University, Germany"}]},{"given":"Stefan","family":"Wolking","sequence":"additional","affiliation":[{"name":"Department of Neurology, Epilepsy Section, RWTH Aachen University, Germany"}]},{"given":"Anna","family":"Niemeyer","sequence":"additional","affiliation":[{"name":"TMF \u2013 Technology, Methods and Infrastructure for Networked Medical Research, Berlin, Germany"}]},{"given":"Rainer","family":"R\u00f6hrig","sequence":"additional","affiliation":[{"name":"Institute of Medical Informatics, RWTH Aachen University, Germany"},{"name":"TMF \u2013 Technology, Methods and Infrastructure for Networked Medical Research, Berlin, Germany"}]},{"given":"Yvonne","family":"Weber","sequence":"additional","affiliation":[{"name":"Department of Neurology, Epilepsy Section, RWTH Aachen University, Germany"}]},{"given":"Myriam","family":"Lipprandt","sequence":"additional","affiliation":[{"name":"Institute of Medical Informatics, RWTH Aachen University, Germany"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","German Medical Data Sciences 2024"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI240843","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T09:02:44Z","timestamp":1725526964000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI240843"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,30]]},"ISBN":["9781643685366"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti240843","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"type":"print","value":"0926-9630"},{"type":"electronic","value":"1879-8365"}],"subject":[],"published":{"date-parts":[[2024,8,30]]}}}