Automated analysis of unstructured clinical assessments improves emergency department triage performance: A retrospective deep learning analysis
Abstract Objectives Efficient and accurate emergency department (ED) triage is critical to prioritize the sickest patients and manage department flow. We explored the use of electronic health record data and advanced predictive analytics to improve triage performance. Methods Using a data set of ove...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-08-01
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| Series: | Journal of the American College of Emergency Physicians Open |
| Online Access: | https://doi.org/10.1002/emp2.13003 |