{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,2]],"date-time":"2025-11-02T00:54:35Z","timestamp":1762044875174,"version":"build-2065373602"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"type":"print","value":"9781643682501"},{"type":"electronic","value":"9781643682518"}],"license":[{"start":{"date-parts":[[2022,1,14]],"date-time":"2022-01-14T00:00:00Z","timestamp":1642118400000},"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":[[2022,1,14]]},"abstract":"<jats:p>Health data from hospital information systems are valuable sources for medical research but have known issues in terms of data quality. In a nationwide data integration project in Germany, health care data from all participating university hospitals are being pooled and refined in local centers. As there is currently no overarching agreement on how to deal with errors and implausibilities, meetings were held to discuss the current status and the need to develop consensual measures at the organizational and technical levels. This paper analyzes the discovered similarities and differences. The result shows that although data quality checks are carried out at all sites, there is a lack of both centrally coordinated data quality indicators and a formalization of plausibility rules as well as a repository for automatic querying of the rules, for example in ETL processes.<\/jats:p>","DOI":"10.3233\/shti210904","type":"book-chapter","created":{"date-parts":[[2022,1,17]],"date-time":"2022-01-17T15:53:43Z","timestamp":1642434823000},"source":"Crossref","is-referenced-by-count":4,"title":["Towards Harmonized Data Quality in the Medical Informatics Initiative \u2013 Current State and Future Directions"],"prefix":"10.3233","author":[{"given":"Matthias","family":"L\u00f6be","sequence":"first","affiliation":[{"name":"Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Germany"}]},{"given":"Gaetan","family":"Kamdje-Wabo","sequence":"additional","affiliation":[{"name":"Center for Preventive Medicine and Digital Health, Department of Biomedical Informatics, Medical Faculty Mannheim of the University of Heidelberg, Germany"}]},{"given":"Adriana Carina","family":"Sinza","sequence":"additional","affiliation":[{"name":"Data Integration Center, University Hospital Aachen, Germany"}]},{"given":"Helmut","family":"Spengler","sequence":"additional","affiliation":[{"name":"Institute for Artificial Intelligence and Informatics in Medicine, Technical University of Munich, Germany"}]},{"given":"Marcus","family":"Strobel","sequence":"additional","affiliation":[{"name":"Data Integration Center, University Hospital Leipzig, Germany"}]},{"given":"Erik","family":"Tute","sequence":"additional","affiliation":[{"name":"Peter L. Reichertz Institute for Medical Informatics (PLRI), Hannover Medical School, Germany"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Informatics and Technology in Clinical Care and Public Health"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI210904","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,17]],"date-time":"2022-01-17T15:53:46Z","timestamp":1642434826000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI210904"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,14]]},"ISBN":["9781643682501","9781643682518"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti210904","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"type":"print","value":"0926-9630"},{"type":"electronic","value":"1879-8365"}],"subject":[],"published":{"date-parts":[[2022,1,14]]}}}