{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,24]],"date-time":"2024-08-24T00:20:08Z","timestamp":1724458808962},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643685335","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,8,22]],"date-time":"2024-08-22T00:00:00Z","timestamp":1724284800000},"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":[[2024,8,22]]},"abstract":"<jats:p>The integration of tumor-related diagnosis and therapy data is a key factor for cancer-related collaborative projects and research projects on-site. The Medical Data Integration Center (MeDIC) of the University Hospital Schleswig-Holstein, resulting from the Medical Informatics Initiative and Network University Medicine in Germany, has agreed on an openEHR-based data management based on a centralized repository with harmonized annotated data. Consequently, the oncological data should be integrated into the MeDIC to interconnect the information and thus gain added value. A uniform national data set for tumor-related reports is already defined for the cancer registries. Therefore, this work aims to transform the national oncological basis data set for tumor documentation (oBDS) so that it can be stored and utilized properly in the openEHR repository of the MeDIC. In a previous work openEHR templates representing the oncological basis data set were modeled. These templates were used to implement a processing pipeline including a metadata repository, which defines the mappings between the elements, a FHIR terminology service for annotation and validation, resulting in a tool to automatically build openEHR compositions from oBDS data. The prototype proved the feasibility of the referred mapping, integration into the MeDIC is straightforward and the architecture introduced is adaptable to future needs by design.<\/jats:p>","DOI":"10.3233\/shti240655","type":"book-chapter","created":{"date-parts":[[2024,8,23]],"date-time":"2024-08-23T10:12:49Z","timestamp":1724407969000},"source":"Crossref","is-referenced-by-count":0,"title":["Integration of Oncological Data into openEHR: A Path Towards Improved Cancer Care and Research"],"prefix":"10.3233","author":[{"given":"Jan","family":"Schladetzky","sequence":"first","affiliation":[{"name":"Medical Data Integration Center, University Hospital Schleswig-Holstein, Germany"},{"name":"IT Center for Clinical Research, L\u00fcbeck, Universit\u00e4t zu L\u00fcbeck, L\u00fcbeck, Germany"},{"name":"University Cancer Center Schleswig-Holstein, University Hospital Schleswig-Holstein, L\u00fcbeck, Germany"}]},{"given":"Niklas","family":"Reimer","sequence":"additional","affiliation":[{"name":"Medical Data Integration Center, University Hospital Schleswig-Holstein, Germany"},{"name":"University Cancer Center Schleswig-Holstein, University Hospital Schleswig-Holstein, L\u00fcbeck, Germany"},{"name":"Medical Systems Biology Group, L\u00fcbeck Institute of Experimental Dermatology, Universit\u00e4t zu L\u00fcbeck, L\u00fcbeck, Germany"}]},{"given":"Herwig","family":"Nicolaus","sequence":"additional","affiliation":[{"name":"IT Center for Clinical Research, L\u00fcbeck, Universit\u00e4t zu L\u00fcbeck, L\u00fcbeck, Germany"}]},{"given":"Hauke","family":"Busch","sequence":"additional","affiliation":[{"name":"University Cancer Center Schleswig-Holstein, University Hospital Schleswig-Holstein, L\u00fcbeck, Germany"},{"name":"Medical Systems Biology Group, L\u00fcbeck Institute of Experimental Dermatology, Universit\u00e4t zu L\u00fcbeck, L\u00fcbeck, Germany"}]},{"given":"Bj\u00f6rn","family":"Schreiweis","sequence":"additional","affiliation":[{"name":"Medical Data Integration Center, University Hospital Schleswig-Holstein, Germany"},{"name":"Institute for Medical Informatics and Statistics, Kiel University and University Hospital Schleswig-Holstein, Germany"}]},{"given":"Ann-Kristin","family":"Kock-Schoppenhauer","sequence":"additional","affiliation":[{"name":"Medical Data Integration Center, University Hospital Schleswig-Holstein, Germany"},{"name":"IT Center for Clinical Research, L\u00fcbeck, Universit\u00e4t zu L\u00fcbeck, L\u00fcbeck, Germany"},{"name":"University Cancer Center Schleswig-Holstein, University Hospital Schleswig-Holstein, L\u00fcbeck, Germany"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Digital Health and Informatics Innovations for Sustainable Health Care Systems"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI240655","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,23]],"date-time":"2024-08-23T10:12:50Z","timestamp":1724407970000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI240655"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,22]]},"ISBN":["9781643685335"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti240655","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,8,22]]}}}