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...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Cambridge University Press
2020-01-01
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| Series: | BJPsych Open |
| Subjects: | |
| Online Access: | https://www.cambridge.org/core/product/identifier/S2056472419000966/type/journal_article |