The Use of an Artificial Intelligence Platform OpenEvidence to Augment Clinical Decision-Making for Primary Care Physicians
RTRyan T. HurtCRChristopher R. StephensonEAElizabeth A. GilmanCAChristopher A. AakreITIvana T. Croghan
Indexed incrossrefdoajpubmed
Abstract
Background
Artificial intelligence (AI) platforms can potentially enhance clinical decision-making (CDM) in primary care settings. OpenEvidence (OE), an AI tool, draws from trusted sources to generate evidence-based medicine (EBM) recommendations to address clinical questions. However, its effectiveness in real-world primary care cases remains unknown.
Objective
To evaluate the performance of OE in providing EBM recommendations for five common chronic conditions in primary care: hypertension, hyperlipidemia, diabetes mellitus type 2, depression, and obesity.
Citation impact
44
total citations
- FWCI
- 21.23
- Percentile
- 100%
- References
- 33
Citations per year
Authors
8Topics & keywords
Topics
Keywords
- CLARITY
- Medicine
- Multidisciplinary approach
- Primary care
- Scale (ratio)
- MEDLINE
- Relevance (law)
- Family medicine
UN Sustainable Development Goals
- Peace, Justice and strong institutions
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