{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,17]],"date-time":"2025-05-17T04:04:30Z","timestamp":1747454670221,"version":"3.40.5"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643685960","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,5,15]],"date-time":"2025-05-15T00:00:00Z","timestamp":1747267200000},"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":[[2025,5,15]]},"abstract":"<jats:p>Electrocardiograms (ECGs) are of central importance for the detection of various cardiovascular diseases. However, the storage and exchange of ECG data within and across healthcare institutions is hindered by limited interoperability. The \u201cAdvancing Cardiovascular Risk Identification with Structured Clinical Documentation and Biosignal Derived Phenotypes Synthesis\u201d (ACRIBiS) project aims to provide a solution by developing a FAIR (Findable, Accessible, Interoperable, and Reusable) ECG data infrastructure across multiple German hospitals. This paper presents an open-source, general-purpose converter for transforming proprietary ECG XML files into the Digital Imaging and Communications in Medicine (DICOM) format, thereby ensuring a standardised data representation. In addition to ECG raw data, the converter processes metadata and waveform annotations using value codes from established medical terminologies (e.g. SCP-ECG). In this work, we evaluate the performance of the converter on 36,933 clinical ECGs stored within GE Healthcare Muse\u00ae. Results demonstrate high performance and compliance with DICOM standards. Future work will extend compatibility to other vendors\u2019 formats and integrate the tool into workflows at various ACRIBiS partners.<\/jats:p>","DOI":"10.3233\/shti250444","type":"book-chapter","created":{"date-parts":[[2025,5,16]],"date-time":"2025-05-16T08:57:06Z","timestamp":1747385826000},"source":"Crossref","is-referenced-by-count":0,"title":["Towards Interoperable ECGs: Converting Proprietary XML to DICOM"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-6059-9893","authenticated-orcid":false,"given":"Lennart","family":"Graf","sequence":"first","affiliation":[{"name":"Dpt. of Medical Informatics, University Medical Center G\u00f6ttingen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5959-7735","authenticated-orcid":false,"given":"Maximilian","family":"Oremek","sequence":"additional","affiliation":[{"name":"Unit for Medical and Scientific Technology Development & Coordination, Coordination (MWTek), Commercial Directorate, University Hospital Bonn, University of Bonn, Bonn, Germany"},{"name":"Applied Mathematical Physiology (AMP) Lab, Department of Anesthesiology & Intensive Care Medicine, University of Bonn Medical Center, Bonn, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-3885-4679","authenticated-orcid":false,"given":"Ruwen","family":"Sadocco","sequence":"additional","affiliation":[{"name":"Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Hannover, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-6972-3759","authenticated-orcid":false,"given":"Friederike","family":"Seyderhelm","sequence":"additional","affiliation":[{"name":"Dpt. of Medical Informatics, University Medical Center G\u00f6ttingen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3254-7380","authenticated-orcid":false,"given":"Jendrik","family":"Richter","sequence":"additional","affiliation":[{"name":"Dpt. of Medical Informatics, University Medical Center G\u00f6ttingen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-5819-4309","authenticated-orcid":false,"given":"Philip","family":"Zaschke","sequence":"additional","affiliation":[{"name":"Dpt. of Medical Informatics, University Medical Center G\u00f6ttingen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7238-5339","authenticated-orcid":false,"given":"Dagmar","family":"Krefting","sequence":"additional","affiliation":[{"name":"Dpt. of Medical Informatics, University Medical Center G\u00f6ttingen, Germany"},{"name":"DZHK (German Centre for Cardiovascular Research), Partner Site Lower Saxony, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2879-9948","authenticated-orcid":false,"given":"Nicolai","family":"Spicher","sequence":"additional","affiliation":[{"name":"Dpt. of Medical Informatics, University Medical Center G\u00f6ttingen, Germany"},{"name":"DZHK (German Centre for Cardiovascular Research), Partner Site Lower Saxony, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Intelligent Health Systems \u2013 From Technology to Data and Knowledge"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI250444","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,16]],"date-time":"2025-05-16T08:57:06Z","timestamp":1747385826000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI250444"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,15]]},"ISBN":["9781643685960"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti250444","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5,15]]}}}