How to Make Outpatient Healthcare Data in Germany Available for Research in the Dynamic Course of Digital Transformation

2023-09-12 | book part. A publication with affiliation to the University of Göttingen.

Jump to: Cite & Linked | Documents & Media | Details | Version history

Cite this publication

​How to Make Outpatient Healthcare Data in Germany Available for Research in the Dynamic Course of Digital Transformation​
Koch, M.; Richter, J.; Hauswaldt, J.  & Krefting, D. ​ (2023)
In:​Röhrig, Rainer; Grabe, Niels; Haag, Martin; Hübner, Ursula; Sax, Ulrich; Schmidt, Carsten Oliver; Sedlmayr, Martin, et al.​ (Eds.), German Medical Data Sciences 2023 – Science. Close to People pp. 12​-21. ​IOS Press. DOI: https://doi.org/10.3233/SHTI230688 

Documents & Media

SHTI-307-SHTI230688.pdf445.63 kBAdobe PDF

License

Published Version

Attribution-NonCommercial 4.0 CC BY-NC 4.0

Details

Authors
Koch, Marius; Richter, Jendrik; Hauswaldt, Johannes ; Krefting, Dagmar 
Editors
Röhrig, Rainer; Grabe, Niels; Haag, Martin; Hübner, Ursula; Sax, Ulrich; Schmidt, Carsten Oliver; Sedlmayr, Martin; Zapf, Antonia
Abstract
There is increasing interest on re-use of outpatient healthcare data for research, as most medical diagnosis and treatment is provided in the ambulatory sector. One of the early projects to bring primary data from German ambulatory care into clinical research technically, organizationally and in compliance with legal demands has been the RADAR project, that is based on a broad consent and has used the then available practice information system's interfaces to extract and transfer data to a research repository. In course of the digital transformation of the German healthcare system, former standards are abandoned and new interoperability standards, interfaces and regulations on secondary use of patient data are defined, however with slow adoption by Health-IT systems. Therefore, it is of importance for all initiatives that aim at using ambulatory healthcare data for research, how to access this data in an efficient and effective way.
Issue Date
12-September-2023
Publisher
IOS Press
Organization
Institut für Medizinische Informatik ; Institut für Allgemeinmedizin 
ISBN
978-1-64368-428-4
eISBN
978-1-64368-429-1
Language
English

Reference

Citations


Social Media