{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:14:30Z","timestamp":1760145270853,"version":"build-2065373602"},"reference-count":37,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2024,6,28]],"date-time":"2024-06-28T00:00:00Z","timestamp":1719532800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the DFG Research Training Group 2535"},{"name":"Open Access Publication Fund of the University of Duisburg-Essen, Germany"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Informatics"],"abstract":"<jats:p>(1) Background: Tumor-specific standardized data are essential for AI-based progress in research, e.g., for predicting adverse events in patients with melanoma. Although there are oncological Fast Healthcare Interoperability Resources (FHIR) profiles, it is unclear how well these can represent malignant melanoma. (2) Methods: We created a methodology pipeline to assess to what extent an oncological FHIR profile, in combination with a standard FHIR specification, can represent a real-world data set. We extracted Electronic Health Record (EHR) data from a data platform, and identified and validated relevant features. We created a melanoma data model and mapped its features to the oncological HL7 FHIR Basisprofil Onkologie [Basic Profile Oncology] and the standard FHIR specification R4. (3) Results: We identified 216 features. Mapping showed that 45 out of 216 (20.83%) features could be mapped completely or with adjustments using the Basisprofil Onkologie [Basic Profile Oncology], and 129 (60.85%) features could be mapped using the standard FHIR specification. A total of 39 (18.06%) new, non-mappable features could be identified. (4) Conclusions: Our tumor-specific real-world melanoma data could be partially mapped using a combination of an oncological FHIR profile and a standard FHIR specification. However, important data features were lost or had to be mapped with self-defined extensions, resulting in limited interoperability.<\/jats:p>","DOI":"10.3390\/informatics11030042","type":"journal-article","created":{"date-parts":[[2024,6,28]],"date-time":"2024-06-28T06:51:53Z","timestamp":1719557513000},"page":"42","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["The Mappability of Clinical Real-World Data of Patients with Melanoma to Oncological Fast Healthcare Interoperability Resources (FHIR) Profiles: A Single-Center Interoperability Study"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1683-7959","authenticated-orcid":false,"given":"Jessica","family":"Swoboda","sequence":"first","affiliation":[{"name":"Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, Hufelandstra\u00dfe 55, 45147 Essen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Moritz","family":"Albert","sequence":"additional","affiliation":[{"name":"Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, Hufelandstra\u00dfe 55, 45147 Essen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7991-2587","authenticated-orcid":false,"given":"Catharina Lena","family":"Beckmann","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Applied Sciences and Arts Dortmund (FH Dortmund), Emil-Figge-Stra\u00dfe 42, 44227 Dortmund, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6930-2694","authenticated-orcid":false,"given":"Georg Christian","family":"Lodde","sequence":"additional","affiliation":[{"name":"Department of Dermatology, Venereology and Allergology, University Hospital Essen, Hufelandstra\u00dfe 55, 45147 Essen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8279-9239","authenticated-orcid":false,"given":"Elisabeth","family":"Livingstone","sequence":"additional","affiliation":[{"name":"Department of Dermatology, Venereology and Allergology, University Hospital Essen, Hufelandstra\u00dfe 55, 45147 Essen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5811-7100","authenticated-orcid":false,"given":"Felix","family":"Nensa","sequence":"additional","affiliation":[{"name":"Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, Hufelandstra\u00dfe 55, 45147 Essen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3524-7858","authenticated-orcid":false,"given":"Dirk","family":"Schadendorf","sequence":"additional","affiliation":[{"name":"Department of Dermatology, Venereology and Allergology, University Hospital Essen, Hufelandstra\u00dfe 55, 45147 Essen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7498-7934","authenticated-orcid":false,"given":"Britta","family":"B\u00f6ckmann","sequence":"additional","affiliation":[{"name":"Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, Hufelandstra\u00dfe 55, 45147 Essen, Germany"},{"name":"Department of Computer Science, University of Applied Sciences and Arts Dortmund (FH Dortmund), Emil-Figge-Stra\u00dfe 42, 44227 Dortmund, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,6,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"e35724","DOI":"10.2196\/35724","article-title":"Fast Healthcare Interoperability Resources (FHIR) for Interoperability in Health Research: Systematic Review","volume":"10","author":"Vorisek","year":"2022","journal-title":"JMIR Med. 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