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Potential of Electronic Medical Record Data for National Quality Measurement.
Bernet, Niklaus S; Thomann, Silvia; Kurpicz-Briki, Mascha; Roos, Leonie; Everink, Irma H J; Schols, Jos M G A; Hahn, Sabine.
Affiliation
  • Bernet NS; Applied Research in Nursing, Bern University of Applied Sciences Bern, Switzerland.
  • Thomann S; Applied Research in Nursing, Bern University of Applied Sciences Bern, Switzerland.
  • Kurpicz-Briki M; Applied Machine Intelligence, Bern University of Applied Sciences, Biel, Switzerland.
  • Roos L; Applied Research in Nursing, Bern University of Applied Sciences Bern, Switzerland.
  • Everink IHJ; Maastricht University, Maastricht, the Netherlands.
  • Schols JMGA; Maastricht University, Maastricht, the Netherlands.
  • Hahn S; Applied Research in Nursing, Bern University of Applied Sciences Bern, Switzerland.
Stud Health Technol Inform ; 292: 51-56, 2022 May 16.
Article in En | MEDLINE | ID: mdl-35575848
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Quality of Health Care / Delivery of Health Care / Electronic Health Records Type of study: Etiology_studies / Risk_factors_studies Aspects: Determinantes_sociais_saude Language: En Journal: Stud Health Technol Inform Journal subject: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Year: 2022 Document type: Article Affiliation country: Suiza

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Quality of Health Care / Delivery of Health Care / Electronic Health Records Type of study: Etiology_studies / Risk_factors_studies Aspects: Determinantes_sociais_saude Language: En Journal: Stud Health Technol Inform Journal subject: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Year: 2022 Document type: Article Affiliation country: Suiza