End user experience of a widely used artificial intelligence based sepsis system
The findings highlight the need for ongoing ESS refinement, emphasizing a balance between technological advancement and clinical practicality. This research contributes to the understanding of AI system adoption in healthcare, suggesting improvements for future clinical AI tools.
Authors
- Megan Elizabeth Salwei (ORCID: https://orcid.org/0000-0002-5457-2501)
- Ayomide Owoyemi (ORCID: https://orcid.org/0000-0002-6446-1733)
- Ebere Okpara (ORCID: https://orcid.org/0000-0003-0766-3993)
- Andy Boyd (ORCID: https://orcid.org/0000-0002-8614-3728)
Institutions
- University of Illinois Chicago (US)
- Vanderbilt University Medical Center (US)
Publication Details
- Journal
- JAMIA Open
- Published
- 2024-10-07
- DOI
- https://doi.org/10.1093/jamiaopen/ooae096
- Citations
- 9
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 3.48
Funders
- Agency for Healthcare Research and Quality
- University of Illinois at Urbana-Champaign