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ClinicAI

How We Evaluate AI Healthcare Tools

Our Mission

ClinicAI exists because small practices deserve the same quality buying guidance that enterprise health systems get from their IT departments and consultants. We are editorially independent — no vendor pays for higher ratings.

Who Writes This

ClinicAI is researched and edited by Ilan Sender, an independent software builder — not a clinician. We don't claim clinical authority. Our value is doing the unglamorous comparison work transparently: normalizing vendor pricing, checking integration and compliance claims against public documentation, and labeling honestly what we know, what we don't, and where the data is still thin. Nothing on this site is medical advice; you make the call for your practice.

Evaluation Framework

Practitioner reviews rate every tool across six dimensions, weighted equally. We have no reviews yet, so nothing below is scored on these today — they are what the review form collects, and what will drive ratings once practitioners submit them:

  1. Accuracy — How well does the tool perform its core function?
  2. Ease of Setup — How quickly can a practice go from signup to daily use?
  3. EHR Integration — How well does it work with your existing systems?
  4. Support — How responsive and helpful is vendor support?
  5. Value for Money — Does the pricing match what you get?
  6. Overall Satisfaction — Would you recommend this to a colleague?

Data Sources

  • Practitioner reviews: none yet — we have published zero. When they arrive, every rating will come from a healthcare professional who has used the tool, and each will carry practice context (specialty, practice size, EHR, patient volume) so you can find feedback from practitioners like you. Where a rating cannot honestly apply — EHR-integration quality on a tool with no integrations — we record “not applicable” rather than asking for a guess.
  • Vendor data: Pricing, features, integrations, and compliance status compiled from vendor websites and public documentation. Tool profiles show when their data was last verified — if a date looks stale, treat the data accordingly and check the vendor's site.
  • Editorial assessment: Written analysis based on vendor documentation, published pricing, and cross-tool pattern analysis. Editorial assessments are clearly labeled and never attributed to practitioners.

Review Integrity

  • No review is published without being moderated first. We have not published any yet.
  • Submissions that look vendor-planted will be rejected, and we will say so on this page if it starts happening at volume.
  • A “verified” badge means we confirmed the reviewer's identity by hand during moderation. It is not an automated credential check, and we do not verify NPI numbers.
  • We do not accept payment for reviews or ratings adjustments.

Affiliate Relationships

No tool on this site currently has an affiliate link (see “Who pays us” below). We have applied to self-serve programs, and when one is approved that tool's outbound link becomes an affiliate link. The policy we are committing to, before any money is involved:

  • A commission will NEVER influence our ratings, rankings, or recommendations
  • Every page carrying an affiliate link will disclose it, above the link
  • We will only join programs for tools we would recommend anyway
  • Tools with no affiliate relationship get identical editorial treatment

Our excluded tools page lists what we rule out and why.

Who pays us

Right now, nobody. None of the 30 tools we cover currently has an active affiliate link. We are applying to self-serve affiliate programs (typically one-time referral bounties or small recurring commissions, paid by the vendor at no cost to you). As programs are approved, affected tools' outbound links become affiliate links and this list updates automatically — it is generated from the same database that powers the site rather than maintained by hand.

How the Recommendation Quiz Scores

The quiz is not a black box. Every recommendation is computed the same way:

  1. Hard filters — tools over your budget ceiling, outside your category, or on our not-recommended list are excluded before scoring. Budget is applied as a maximum on a tool's starting price, so a larger budget never hides a cheaper tool, and tools that publish no price are never excluded on price. In the unlikely event the filters eliminate every tool, we drop the budget filter and say so on the results.
  2. Attribute match (40%) — practice-size fit, EHR integration match, free-trial availability, and a cost bonus for cheaper tools within budget.
  3. Contextual reviews (40%) — ratings from practitioners whose practice type, specialty, and EHR match yours, weighted by how closely they match and dampened when a tool has few reviews. Tools with little review data show an “early data” badge and lean on the other factors. A tool with no reviews is labelled “provisional” and its score is hard-capped at 60% — strong paperwork can never outrank proven, review-backed quality.
  4. Editorial adjustment (20%) — the modifier described below.

Editorial Score Modifier

I apply an adjustment of -2 to +2 based on factors reviews alone can't capture: vendor stability, recent product changes, industry reputation. Calling it “small” would undersell it — it is 20% of every score, so against the 60-point ceiling that applies to unreviewed tools it is worth up to a third of everything such a tool can earn. That makes it the most subjective input here, which is why it is bounded and published rather than hidden:

  • Always applied, never occasional: it is 20% of every quiz score, so a tool at +2 starts up to 20 points ahead of one at -2. It is the most subjective input we use, which is why it is capped and published here rather than left implicit
  • Never influenced by affiliate relationships
  • A separate editorial threshold, published for the same reason: any quiz result scoring 25% or below is labelled a weak fit, and when any result falls at or below it, the results page says how many cleared it. Rank position alone would imply an endorsement the score doesn't support
  • Set when a tool is added and revisited when its pricing or posture changes — not on a fixed schedule

The current nonzero values (11 of 30 active tools; all others are 0): AdvancedMD AI (-1), Athena AI Scribe (-1), Dragon Medical One (-1), Epic AI Documentation (-1), Freed AI (+1), Heidi Health (+1), Medicodio (+1), Nabla (+1), Nym Health (+1), Tebra AI Billing (-1), Waystar AI (-1).

Contact Us

Disagree with a rating? Think we missed something? We take corrections seriously and update our content promptly. Reach us at hello@clinicaimatch.com.