Desiderata for a synthetic clinical data generator

Joshua Wiedekopf, Hannes Ulrich, Andrea Essenwanger, Alexander Kiel, Ann Kristin Kock-Schoppenhauer, Josef Ingenerf


The current movement in Medical Informatics towards comprehensive Electronic Health Records (EHRs) has enabled a wide range of secondary use cases for this data. However, due to a number of well-justified concerns and barriers, especially with regards to information privacy, access to real medical records by researchers is often not possible, and indeed not always required. An appealing alternative to the use of real patient data is the employment of a generator for realistic, yet synthetic, EHRs. However, we have identified a number of shortcomings in prior works, especially with regards to the adaptability of the projects to the requirements of the German healthcare system. Based on three case studies, we define a non-exhaustive list of requirements for an ideal generator project that can be used in a wide range of localities and settings, to address and enable future work in this regard. © 2021 European Federation for Medical Informatics (EFMI) and IOS Press.
Original languageGerman
Title of host publicationPublic Health and Informatics: Proceedings of MIE 2021
Number of pages5
PublisherIOS Press
Publication date01.07.2021
ISBN (Print)9781643681856
Publication statusPublished - 01.07.2021

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