{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T09:49:50Z","timestamp":1747216190363,"version":"3.40.5"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"type":"electronic","value":"9781643685335"}],"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>This study advances the utility of synthetic study data in hematology, particularly for Acute Myeloid Leukemia (AML), by facilitating its integration into healthcare systems and research platforms through standardization into the Observational Medical Outcomes Partnership (OMOP) and Fast Healthcare Interoperability Resources (FHIR) formats. In our previous work, we addressed the need for high-quality patient data and used CTAB-GAN+ and Normalizing Flow (NFlow) to synthesize data from 1606 patients across four multicenter AML clinical trials. We published the generated synthetic cohorts, that accurately replicate the distributions of key demographic, laboratory, molecular, and cytogenetic variables, alongside patient outcomes, demonstrating high fidelity and usability. The conversion to the OMOP format opens avenues for comparative observational multi-center research by enabling seamless combination with related OMOP datasets, thereby broadening the scope of AML research. Similarly, standardization into FHIR facilitates further developments of applications, e.g. via the SMART-on-FHIR platform, offering realistic test data. This effort aims to foster a more collaborative research environment and facilitate the development of innovative tools and applications in AML care and research.<\/jats:p>","DOI":"10.3233\/shti240692","type":"book-chapter","created":{"date-parts":[[2024,8,23]],"date-time":"2024-08-23T10:20:23Z","timestamp":1724408423000},"source":"Crossref","is-referenced-by-count":0,"title":["Synthetic Data Generation in Hematology \u2013 Paving the Way for OMOP and FHIR Integration"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-7934-930X","authenticated-orcid":false,"given":"Waldemar","family":"Hahn","sequence":"first","affiliation":[{"name":"Center for Scalable Data Analytics and Artificial Intelligence, Dresden, Germany"},{"name":"Institute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technische Universit\u00e4t Dresden, Dresden, Germany"}]},{"given":"Najia","family":"Ahmadi","sequence":"additional","affiliation":[{"name":"Institute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technische Universit\u00e4t Dresden, Dresden, Germany"}]},{"given":"Katja","family":"Hoffmann","sequence":"additional","affiliation":[{"name":"Institute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technische Universit\u00e4t Dresden, Dresden, Germany"}]},{"given":"Jan-Niklas","family":"Eckardt","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine I, University Hospital Carl Gustav Carus, Technische Universit\u00e4t, Dresden, Germany"},{"name":"Else Kr\u00f6ner Fresenius Center for Digital Health, Technische Universit\u00e4t Dresden, Germany"}]},{"given":"Martin","family":"Sedlmayr","sequence":"additional","affiliation":[{"name":"Institute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technische Universit\u00e4t Dresden, Dresden, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1887-4772","authenticated-orcid":false,"given":"Markus","family":"Wolfien","sequence":"additional","affiliation":[{"name":"Institute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technische Universit\u00e4t Dresden, Dresden, Germany"},{"name":"Center for Scalable Data Analytics and Artificial Intelligence, Dresden, 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\/SHTI240692","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,23]],"date-time":"2024-08-23T10:20:25Z","timestamp":1724408425000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI240692"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,22]]},"ISBN":["9781643685335"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti240692","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"type":"print","value":"0926-9630"},{"type":"electronic","value":"1879-8365"}],"subject":[],"published":{"date-parts":[[2024,8,22]]}}}