How recommendations work

Eligibility first. Evidence before opinion.

Our model is designed to eliminate poor-fit products before ranking the credible options—and to keep uncertainty visible.

1. We test eligibility

Category, US availability, practice size, specialty, primary use case, critical integrations, budget feasibility and implementation timing can remove or down-rank a product. Popularity alone never makes a vendor eligible.

2. We rank decision fit

Verified functional fit and critical integrations carry the most weight, followed by total-cost fit, stack coherence, small-practice fit, evidence quality and timeline. A commercial relationship can only act as a small tiebreaker among already-eligible products.

3. We grade the evidence

Official vendor pricing outranks independent estimates. Buyer-reported prices are labeled as anecdotal ranges. For integrations, we record a named source, target, workflow and mechanism; a logo wall is not treated as proof that billing or clinical data moves correctly.

4. We leave unknowns unknown

Quote-only prices, implementation fees and unverified interfaces remain visible as gaps. Recommendations show decision-specific checks only when the buyer’s answers make them relevant.

Review cycle

The current medical-software dataset was reviewed July 18, 2026. Product pages show source links so buyers can recheck time-sensitive facts before signing a contract.