Hybrid triaging assistance algorithm for continuous patient monitoring
Integrating chief complaints is critical for improving the accuracy of AI-driven triage models. These findings highlight the potential for hybrid systems to enhance patient monitoring and prevent deterioration in ED waiting rooms. Future work should focus on incorporating more diverse datasets and time series data to further validate and improve model performance.
Authors
- R. Bhushan Gopaluni (ORCID: https://orcid.org/0000-0002-4321-0468)
- Edmond Cretu (ORCID: https://orcid.org/0000-0002-6468-737X)
- Michael Lim (ORCID: https://orcid.org/0009-0006-0566-2945)
- Z.Y. Li (ORCID: https://orcid.org/0009-0005-9566-2318)
- Kendall Ho (ORCID: https://orcid.org/0000-0002-4936-9031)
- Dragan Andjelic (ORCID: https://orcid.org/0009-0002-1562-7909)
- Nooshin Jafari (ORCID: https://orcid.org/0000-0001-8107-7779)
- S. Rojas Torres (ORCID: https://orcid.org/0009-0003-5869-4375)
- Julie Lockington (ORCID: https://orcid.org/0009-0009-4346-5127)
Institutions
- University of British Columbia (CA)
- Vancouver Coastal Health Research Institute (CA)
Publication Details
- Journal
- Digital Health
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1177/20552076251388141
- Primary Topic
- Healthcare Technology and Patient Monitoring
- Type
- article
- Field-Weighted Citation Impact
- 0.00