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  4. Potential of Electronic Medical Record Data for National Quality Measurement
 

Potential of Electronic Medical Record Data for National Quality Measurement

URI
https://arbor.bfh.ch/handle/arbor/33847
Version
Published
Date Issued
2022
Author(s)
Bernet, Niklaus Stefan  
Thomann, Silvia  
Kurpicz-Briki, Mascha  
Roos, Leonie  
Everink, Irma H.J.
Schols, Jos M.G.A.
Hahn, Sabine  
Editor(s)
Bürkle, Thomas  
Denecke, Kerstin  
Holm, Jürgen  
Sariyar, Murat  
Lehmann, Michael  
Type
Book Chapter
Language
English
Abstract
National quality measurements with risk-adjusted provider comparison in health care nowadays usually require administrative or clinically measured data. However, both data sources have their limitations. Due to the digitalisation of institutions and the resulting switch to electronic medical records, the question arises as to whether these data can be made usable for risk-adjusted quality comparisons from both a content and a technical point of view. We found that most of the relevant information can be exported with little effort from the electronic medical records. In using this data source an even more sophisticated operationalization of the data of interest is needed.
ISBN
978-1-64368-281-5
DOI
10.24451/arbor.17250
https://doi.org/10.24451/arbor.17250
Publisher DOI
10.3233/SHTI220320
Series/Report No.
Studies in Health Technology and Informatics
Related URL
https://ebooks.iospress.nl/volume/healthcare-of-the-future-2022-digital-health-from-vision-to-best-practice publication
Organization
Pflege  
G / Innovationsfeld Qualität und Qualitätsentwicklung  
IDAS / Applied Machine Intelligence  
Technik und Informatk  
Gesundheit  
Institute for Data Applications and Security (IDAS)  
Volume
292
Project(s)
2021-485-810-185
Publisher
IOS Press
Submitter
Thomann, Silvia
Citation apa
Bernet, N. S., Thomann, S., Kurpicz-Briki, M., Roos, L., Everink, I. H. J., Schols, J. M. G. A., & Hahn, S. (2022). Potential of Electronic Medical Record Data for National Quality Measurement (T. Bürkle, K. Denecke, J. Holm, M. Sariyar, & M. Lehmann, Eds.; Vol. 292). IOS Press. https://doi.org/10.24451/arbor.17250
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