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Mining tasks and task characteristics from electronic health record audit logs with unsupervised machine learning
OBJECTIVE: The characteristics of clinician activities while interacting with electronic health record (EHR) systems can influence the time spent in EHRs and workload. This study aims to characterize EHR activities as tasks and define novel, data-driven metrics. MATERIALS AND METHODS: We leveraged u...
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| Yayımlandı: | J Am Med Inform Assoc |
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| Asıl Yazarlar: | , , , , , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Oxford University Press
2021
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8200270/ https://ncbi.nlm.nih.gov/pubmed/33576432 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocaa338 |
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