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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.
Afiliación
  • 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 en 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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Calidad de la Atención de Salud / Atención a la Salud / Registros Electrónicos de Salud Tipo de estudio: Etiology_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2022 Tipo del documento: Article País de afiliación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Calidad de la Atención de Salud / Atención a la Salud / Registros Electrónicos de Salud Tipo de estudio: Etiology_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2022 Tipo del documento: Article País de afiliación: Suiza