Development of a Human Factors–Based Guideline to Support the Design, Evaluation, and Continuous Improvement of Clinical Decision Support
The 2-phased iterative development and feedback process resulted in the development of an HF-informed guideline to provide consolidated, accessible, and current best practice guidance on the appropriateness of CDS and CDS options, as well as designing, evaluating, and continuously improving CDS. Future work will evaluate the impact and implementation of the guideline in real-world settings.
Authors
- Thomas Loveday
- Melissa Baysari (ORCID: https://orcid.org/0000-0003-1645-9126)
- Raymond Lau
- Selvana Awad (ORCID: https://orcid.org/0000-0002-3913-9697)
Institutions
- The University of Sydney (AU)
- eHealth Africa (US)
Publication Details
- Journal
- Mayo Clinic Proceedings Digital Health
- Published
- 2024-11-27
- DOI
- https://doi.org/10.1016/j.mcpdig.2024.11.003
- Citations
- 2
- Primary Topic
- Electronic Health Records Systems
- Type
- article
- Field-Weighted Citation Impact
- 1.42
Funders
- Department of Education and Training