Artificial intelligence after the bedside: co-design of AI-based clinical informatics workflows to routinely analyse patient-reported experience measures in hospitals
AI-based clinical informatics workflows to routinely analyse free-text PREMs data were co-designed with multidisciplinary end-users and are ready for clinical piloting.
Authors
- Oliver J. Canfell (ORCID: https://orcid.org/0000-0003-2010-3640)
- Turandot Saul (ORCID: https://orcid.org/0000-0003-1923-2891)
- Wilkin Chan (ORCID: https://orcid.org/0000-0002-1899-2971)
- Teyl Engstrom (ORCID: https://orcid.org/0000-0002-1778-5006)
- Jason D. Pole (ORCID: https://orcid.org/0000-0002-0413-5434)
- Clair M. Sullivan (ORCID: https://orcid.org/0000-0003-2475-9989)
- Jacqueline Daly
Institutions
- Queensland Health (AU)
- The University of Queensland (AU)
- King's College London (GB)
- University of Toronto (CA)
- Public Health Ontario (CA)
Publication Details
- Journal
- BMJ Health & Care Informatics
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1136/bmjhci-2024-101124
- Citations
- 5
- Primary Topic
- Healthcare cost, quality, practices
- Type
- article
- Field-Weighted Citation Impact
- 4.25
Funders
- Queensland Health
- University of Queensland