The Use of an Artificial Intelligence Platform OpenEvidence to Augment Clinical Decision-Making for Primary Care Physicians
OE was rated high in clarity, relevance, and evidence-based support, reinforcing physician decisions in common chronic conditions. While the impact on CDM was minimal due to the study's retrospective nature, OE shows promise in augmenting the primary care physician. Prospective trials are needed to evaluate its utility in complex cases and multidisciplinary settings.
Authors
- Christopher A. Aakre (ORCID: https://orcid.org/0000-0001-9817-8533)
- Christopher R. Stephenson (ORCID: https://orcid.org/0000-0001-8537-392X)
- Ryan T. Hurt (ORCID: https://orcid.org/0000-0003-1158-7559)
- Elizabeth A. Gilman (ORCID: https://orcid.org/0000-0002-0166-391X)
- Ivana T. Croghan (ORCID: https://orcid.org/0000-0003-3464-3525)
- Manpreet S. Mundi (ORCID: https://orcid.org/0000-0001-7902-3544)
- Jithinraj Edakkanambeth Varayil (ORCID: https://orcid.org/0000-0001-9738-6699)
- Karthik Ghosh
Institutions
- Mayo Clinic in Arizona (US)
Publication Details
- Journal
- Journal of Primary Care & Community Health
- Published
- 2025-04-16
- DOI
- https://doi.org/10.1177/21501319251332215
- Citations
- 33
- Primary Topic
- Meta-analysis and systematic reviews
- Type
- article
- Field-Weighted Citation Impact
- 46.15