Potential of Electronic Medical Record Data for National Quality Measurement

Autor: Niklaus S. Bernet, Silvia Thomann, Mascha Kurpicz-Briki, Leonie Roos, Irma H.J. Everink, Jos M.G.A. Schols, Sabine Hahn
Přispěvatelé: Health Services Research, RS: CAPHRI - R1 - Ageing and Long-Term Care, RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Studies in Health Technology and Informatics, 292, 51-56. IOS Press
ISSN: 0926-9630
Popis: 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.
Databáze: OpenAIRE