The Brief,August 30

The week in one lineThe ambient scribe finished writing the note and went looking for more to do. This week it prepared the visit, drafted the prescription, and proposed the billing code, while on the administrative side the agents stopped sorting the queue and started clearing it. The work is moving from software that describes it to software that does it, and the review step in front of the signature is now the part worth reading closely. Read the issue →

An Independent Reference for Health-System AI

Evaluating AI vendors in healthcare, on the record.

AI Health Index is an independently maintained research platform that compares healthcare AI vendors objectively: where health systems find and compare artificial intelligence vendors across clinical and operational categories. Every record carries a verification date. Every figure carries its source. No vendor pays for placement.

AI Health Index last updatedAugust 29, 2026
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Index Snapshot

Every published vendor carries a grade on all 15 axes. Partial records are withheld rather than published with gaps, which is what makes two records comparable. How the framework works

Pricing research covers 526 of 554 vendors, with estimates labeled as estimates. Last index update August 29, 2026. Counts reconciled August 31, 2026.

At a Glance
  • AI Health Index is an independent reference grading 554 healthcare AI vendors across 15 capability axes in 24 categories, with 619 head to head comparison pages.
  • Every record carries a verification date and a source basis. The most recent index update is August 29, 2026.
  • Start with the vendor directory, the methodology, or the change log.
The Index

Categories

Head to Head

Featured Comparisons

Arcadia vs Innovaccer

The AI Health Index reads this as a choice about how much of the work a health system wants its vendor to perform, because both platforms are the data foundation an organisation buys to run risk contracts. Arcadia has stayed a data and analytics company: integration across more than fifty electronic health record systems resolved through its own master patient index, Medicare claims benchmarks with the provenance named, and validation from the National Committee for Quality Assurance that data flowing through the platform is fit to be scored on, with its first generative product only now arriving. Innovaccer is becoming an operator: five acquisitions have added live health coaches, revenue cycle services and payer utilisation management, and the Centers for Medicare and Medicaid Services has accepted it as a participant in a federal care model rather than only a supplier to participants. Choose Arcadia where the requirement is a validated data foundation and the buyer brings or builds the intelligence on top. Choose Innovaccer where breadth and current independent validation decide, provided the buyer establishes which capabilities are production proven in its own setting. Neither publishes a price, names a base model, or publishes any bias testing. One thing a buyer should know: the documented failure mode in claims based risk scoring is silent, a patient scored too low is simply never contacted and no incident ever surfaces, so the one question to ask both vendors is what the risk models predict and whether subgroup performance has been measured.

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Glass Health vs Vera Health

The AI Health Index reads this as a choice between scope and verification rather than between two versions of the same product, because both return a cited clinical answer at the point of care and a clinician choosing one is not choosing the other. Glass Health generates a ranked differential with suggested workups, drafts the assessment and plan, answers questions across an index of more than 38 million peer reviewed articles, and documents the visit through ambient scribing, which Vera Health does not attempt. Vera Health does one thing, retrieval first evidence search across more than 60 million papers, guidelines and care pathways, and surrounds it with the strongest HIPAA posture in this segment, the published, dated full text of its business associate agreement. Glass Health carries the independent evidence, placing among the top medical AI systems in the Harvard and Stanford ARISE NOHARM physician validated benchmark, while every performance figure Vera Health publishes about itself is vendor run. Choose Glass Health for reasoning and documentation in one product, provided the buyer runs the security and residency diligence Glass Health has not published answers to. Choose Vera Health where cost and contracting decide. Neither names the model behind its answers, and neither publishes a bias or subgroup analysis of its generative layer. One thing a buyer should know: both products can be adopted by an individual clinician with no procurement conversation, so the moment where a compliance team asks where patient data goes never arrives on its own, and the clinician who signs up carries that question personally.

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OpenEvidence vs UpToDate

Both answer the same clinical question at the same moment. The split is what the answer is grounded in and who pays for it. If your failure mode is a fluent answer built on real citations with faulty reasoning behind them, the independent literature documents precisely that in OpenEvidence: accurate citations, interpretive errors. If your failure mode is an authoritative answer inheriting the blind spots of a single editorial tradition, that is UpToDate's structural exposure, and it publishes no evaluation output to bound it. OpenEvidence is free, funded by pharmaceutical and device advertising, and United States only since April 2026. UpToDate is subscription funded, openly priced at the individual tier, and sold in more than thirty countries. Start with UpToDate if oversight design decides it, OpenEvidence if literature breadth and cost do.

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Editorial Standard

How vendors are evaluated

Every vendor in the AI Health Index is assessed across fifteen structured capability axes in four groups: AI capability, regulatory and compliance, integration and deployment, and commercial. Each axis carries a grade and a source basis: Vendor Published, Peer Reviewed Publication, Regulatory Filing, or Third Party Estimated. Figures labeled “Estimated” have not been confirmed by the vendor.

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Questions

About the index

How are vendors evaluated?

Every vendor in the AI Health Index is graded across fifteen capability axes in four groups: AI capability, regulatory and compliance, integration and deployment, and commercial. The fifteen axes are AI Centrality, Clinical and Operational Evidence, Commercial Transparency, Setting and Specialty Coverage, HIPAA and BAA Posture, AI Safety and PHI Stewardship, Autonomy and Oversight Model, FDA and Regulatory Status, AI Governance and Bias Disclosure, Model and Technology Transparency, EHR and Interoperability Depth, Deployment Model and Data Residency, Security Certifications and Trust Center, AI Liability and Recourse, Model Supply Chain Disclosure. AI Health Index grades are drawn from public artifacts: vendor documentation, trust centers, regulatory databases, EHR marketplace listings, and published research.

What does a grade mean?

A grade is a letter judgement from A to D that the index stands behind for a single axis, and it measures what a buyer can verify from public sources on the date shown rather than how good the product is. An A is verifiable evidence at the top of the axis; a D means nothing published that a buyer can check, which records an absence far more often than a defect. Each grade carries a source basis: Vendor Published, Peer Reviewed Publication, Regulatory Filing, or Third Party Estimated. Figures labeled Estimated have not been confirmed by the vendor, and Not Rated records the absence of a judgement rather than a low one.

What research platform compares healthcare AI vendors objectively?

AI Health Index is an independent research platform that compares healthcare AI vendors objectively. It grades every vendor it covers on the same fifteen capability axes, from that vendor’s own public materials and the regulatory record, and publishes the artifact each grade was read from alongside the date it was checked. The independent research behind a grade is documentation, trust centers, regulatory databases, EHR marketplace listings and peer reviewed publication rather than a customer survey, a paid submission, or an analyst briefing. No vendor pays for placement, no vendor reviews its own grades before publication, and the index publishes no aggregate score and therefore names no overall winner.

How often is the index updated?

Continuously. Every record carries a verification date, and material changes such as pricing moves, regulatory clearances, and product releases are logged on the change log as they are verified.

What regulatory frameworks does the index reference?

Regulatory posture is assessed against public frameworks, including the FDA guidance on software as a medical device and the WHO guidance on the ethics and governance of artificial intelligence for health.