Machine learning optimization of an electronic health record audit for heart failure in primary care

Abstract Aims The diagnosis of heart failure (HF) is an important problem in primary care. We previously demonstrated a 74% increase in registered HF diagnoses in primary care electronic health records (EHRs) following an extended audit procedure. What remains unclear is the accuracy of registered H...

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Detalhes bibliográficos

Principais autores:	Willem Raat, Miek Smeets, Severine Henrard, Bert Aertgeerts, Joris Penders, Walter Droogne, Wilfried Mullens, Stefan Janssens, Bert Vaes
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Oxford University Press 2022-02-01
Colecção:	ESC Heart Failure
Assuntos:	Chronic heart failure Primary care Audit and feedback Electronic health records Screening
Acesso em linha:	https://doi.org/10.1002/ehf2.13724
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