The sources we draw on
Each review draws from a stack of named public sources. Weights below reflect how much each source family contributes to a tool’s position in our comparisons.
Peer-reviewed literature
Weight 25%
- PubMed-indexed studies that evaluate the tool in clinical settings. JAMA, NEJM, BMJ, specialty journals when relevant.
Reddit clinician communities
Weight 20%
- Public clinician and trainee discussions where AI tools are evaluated in working clinical context. Sentiment extracted, quotes attributed.
Public review aggregators
Weight 15%
- G2, Capterra, Software Advice, TrustRadius profile pages. Star-ratings and recent qualitative reviews.
Vendor stability signals
Weight 15%
- Funding rounds, leadership changes, acquisitions, EHR-marketplace certifications (Epic App Orchard, Cerner Code).
Physician networks
Weight 10%
- Sermo and Doximity, closed physician-only platforms. Quoted with attribution and anonymization.
Vendor documentation
Weight 5%
- Pricing pages, security attestations (HIPAA, SOC 2, HITRUST, FDA-510(k)), EHR-integration disclosures. Used as the factual source for specs and pricing, not as evidence for ranking position.
Clinician YouTube reviews
Weight 5%
- Long-form clinician demos and product walkthroughs from board-certified or trainee-credentialed channels.
Specialty society guidance
Weight 5%
- AAFP, AAP, ACP, AMA, ACR, ACS recommendations or endorsements when published.