AI Article Synopsis

  • The shift towards comprehensive Electronic Health Records (EHRs) has opened up opportunities for various secondary uses of medical data, but privacy concerns often limit researchers' access to real records.
  • A useful alternative is the creation of generators for synthetic EHRs, but previous efforts have fallen short in adapting to the needs of the German healthcare system.
  • This paper outlines a set of requirements for an ideal synthetic EHR generator, based on three case studies, aiming to enhance its adaptability across different healthcare settings.

Article Abstract

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.

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Source
http://dx.doi.org/10.3233/SHTI210122DOI Listing

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