{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,5,22]],"date-time":"2023-05-22T14:28:42Z","timestamp":1684765722281},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2021,9,21]],"date-time":"2021-09-21T00:00:00Z","timestamp":1632182400000},"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":[[2021,9,21]]},"abstract":"<jats:p>Optimizing the utilization of radiology departments is one of the primary objectives for many hospitals. To support this, a solution has been developed, which at first transforms the export of different Radiological Information Systems (RIS) into the data format of a clinical data warehouse (CDW). Additional features, like for example the time between the creation of a radiologic request and the finalization of the diagnosis for the created images, can then be defined using a simple interface and are calculated and saved in the CDW as well. Finally, the query language of the CDW can be used to create custom reports with all the RIS data including the calculated features and export them into the standard formats Excel and CSV. The solution has been successfully tested with data from two German hospitals.<\/jats:p>","DOI":"10.3233\/shti210543","type":"book-chapter","created":{"date-parts":[[2021,9,21]],"date-time":"2021-09-21T11:40:53Z","timestamp":1632224453000},"source":"Crossref","is-referenced-by-count":2,"title":["Calculating Key Figures for Radiology Departments Using a Clinical Data Warehouse \u2013 A Technical Case Report"],"prefix":"10.3233","author":[{"given":"Leon","family":"Liman","sequence":"first","affiliation":[{"name":"Chair of Computer Science VI, W\u00fcrzburg University, W\u00fcrzburg, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Georg","family":"Fette","sequence":"additional","affiliation":[{"name":"Service Centre Medical Informatics, University Hospital of W\u00fcrzburg, W\u00fcrzburg, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jonathan","family":"Krebs","sequence":"additional","affiliation":[{"name":"Chair of Computer Science VI, W\u00fcrzburg University, W\u00fcrzburg, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Frank","family":"Puppe","sequence":"additional","affiliation":[{"name":"Chair of Computer Science VI, W\u00fcrzburg University, W\u00fcrzburg, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","German Medical Data Sciences 2021: Digital Medicine: Recognize \u2013 Understand \u2013 Heal"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI210543","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,25]],"date-time":"2021-10-25T13:30:07Z","timestamp":1635168607000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI210543"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,21]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti210543","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,9,21]]}}}