TY - CHAP
T1 - Desiderata for a synthetic clinical data generator
AU - Wiedekopf, Joshua
AU - Ulrich, Hannes
AU - Essenwanger, Andrea
AU - Kiel, Alexander
AU - Kock-Schoppenhauer, Ann Kristin
AU - Ingenerf, Josef
PY - 2021/7/1
Y1 - 2021/7/1
N2 - 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.
AB - 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.
UR - https://www.mendeley.com/catalogue/bbb21e06-447c-3294-b2b9-32c15eb4bbbe/
U2 - 10.3233/SHTI210122
DO - 10.3233/SHTI210122
M3 - Kapitel
C2 - 34042707
SN - 9781643681856
T3 - Public Health and Informatics: Proceedings of MIE 2021
SP - 68
EP - 72
BT - Public Health and Informatics: Proceedings of MIE 2021
PB - IOS Press
ER -
