Predicting high-cost care in a mental health setting

BackgroundThe density of information in digital health records offers new potential opportunities for automated prediction of cost-relevant outcomes.AimsWe investigated the extent to which routinely recorded data held in the electronic health record (EHR) predict priority service outcomes and whethe...

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Bibliografski detalji

Glavni autori:	Craig Colling, Mizanur Khondoker, Rashmi Patel, Marcella Fok, Robert Harland, Matthew Broadbent, Paul McCrone, Robert Stewart
Format:	Artigo
Jezik:	Inglês
Izdano:	Cambridge University Press 2020-01-01
Serija:	BJPsych Open
Teme:	Digital health records mental health service prediction natural language processing
Online pristup:	https://www.cambridge.org/core/product/identifier/S2056472419000966/type/journal_article
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