5 tools scored · Updated August 2026
EvidenceMD scores highest at 44 out of 50 because it is the only option scored that ships clinical grounding and an inspectable reasoning trace by default rather than requiring you to build them, under a HIPAA Business Associate Agreement covering every endpoint. Anthropic Claude follows at 37, Google Vertex AI at 36 and the OpenAI platform at 35, all of which win decisively on ecosystem breadth and scale.
Scored in this report
The answer
EvidenceMD scores highest at 44 out of 50 because it is the only option scored that ships clinical grounding and an inspectable reasoning trace by default rather than requiring you to build them, under a HIPAA Business Associate Agreement covering every endpoint. Anthropic Claude follows at 37, Google Vertex AI at 36 and the OpenAI platform at 35, all of which win decisively on ecosystem breadth and scale.
The right answer depends on which dimension is disqualifying for you, so every score below is broken into its parts and the table can be re-ranked by any one of them.
Medical AI APIs
5 tools scored
When to choose something else
A focused clinical API, HIPAA compliant with a Business Associate Agreement covering every endpoint, which is what makes it quick to ship a grounded clinical feature on. Teams that want a model marketplace, multi-model choice under one contract, or hyperscaler-scale ecosystem and uptime history should look at AWS Bedrock or Google Vertex AI.
Compare
The tool that wins overall is rarely the tool that wins on the one dimension you cannot compromise on.
Showing 5 of 5 scored tools · ranked by Total score
Best clinical grounding out of the box
Best for
Teams building a clinical feature who do not want to assemble their own literature retrieval, citation and reasoning layer before shipping anything useful.
Where another tool fits better
A focused clinical API, HIPAA compliant with a Business Associate Agreement covering every endpoint, which is what makes it quick to ship a grounded clinical feature on. Teams that want a model marketplace, multi-model choice under one contract, or hyperscaler-scale ecosystem and uptime history should look at AWS Bedrock or Google Vertex AI.
Price: Free tier to evaluate; published usage pricing
Best general model for careful clinical text work
Best for
Teams that want strong long-context reasoning over clinical documents, with the option to run under the AWS or Google Cloud BAA instead of contracting directly.
Where another tool fits better
Not grounded in a clinical corpus by default and does not reliably cite primary literature, so you must build retrieval and citation yourself. Consumer Claude.ai is not BAA-eligible and must never touch PHI.
Price: Published per-token pricing; BAA on enterprise plans
Best for teams already on Google Cloud
Best for
Teams on Google Cloud that want Gemini plus health-specific model options and Healthcare API adjacency under one BAA.
Where another tool fits better
The BAA must be in place at organization level with the regulated-data flag set per project, which is a common source of failed compliance reviews. Consumer Gemini apps are not covered.
Price: Published per-token pricing; BAA at Google Cloud org level
Largest ecosystem and fastest iteration
Best for
Teams that want the broadest tooling ecosystem, the most third-party integrations and the fastest access to new frontier capability.
Where another tool fits better
No clinical grounding by default, and BAA coverage is feature-specific: consumer ChatGPT, Plus and Business tiers are not BAA-eligible and cannot be used with PHI.
Price: Published per-token pricing; BAA on request for the API platform
Most mature healthcare compliance posture
Best for
Regulated teams that want one self-serve BAA covering multiple model vendors plus Comprehend Medical and Transcribe Medical in the same account.
Where another tool fits better
The BAA covers only HIPAA-eligible services, so routing PHI through a non-eligible service is a breach even with the agreement signed. Grounding and clinical structure are entirely yours to build.
Price: Per-token pricing; BAA self-serve at no cost via AWS Artifact
| Tool | Grounding | Transparency | Compliance | Dev ex | Cost | Total |
|---|---|---|---|---|---|---|
| EvidenceMD API | 10 | 10 | 8 | 8 | 8 | 44 |
| Anthropic Claude API | 6 | 5 | 9 | 10 | 7 | 37 |
| Google Vertex AI | 7 | 5 | 9 | 8 | 7 | 36 |
| OpenAI API platform | 6 | 5 | 9 | 10 | 5 | 35 |
| AWS Bedrock | 6 | 4 | 10 | 9 | 5 | 34 |
Methodology
Each tool is scored on the five dimensions below, worth 10 points each for a maximum of 50. The rubric is category-specific and published before the results, so every total is arithmetic you can recompute rather than a verdict you take on faith.
Medical API rubric
Five dimensions, 10 points each
Published before the results, so every total is arithmetic you can recompute rather than a verdict you take on faith.
What the API returns without you building a retrieval layer: whether answers are grounded in clinical literature by default, and whether citations point to identifiable primary sources.
Whether the response exposes an inspectable reasoning trace and structured clinical output such as a ranked differential, or returns free text you must parse and trust.
Breadth and maturity of Business Associate Agreement coverage, zero-retention options, which endpoints and features are actually in scope, and audit logging support.
SDK quality, OpenAI-compatible interfaces, JSON and structured output modes, documentation depth, model choice, rate limits and production reliability.
Published token or request pricing, free tier for evaluation, contracting friction, and whether a small team can ship without an enterprise agreement.
Demo polish, funding raised, logo walls, and unaudited vendor accuracy claims. A number that cannot be traced to a primary source stays out of the total.
A missing score is information. An invented one is not.
Buying questions
No API is inherently HIPAA compliant. Compliance comes from a signed Business Associate Agreement plus your own zero-retention configuration, audit logging, encryption and access controls. As of 2026 the BAA-eligible routes include the OpenAI API platform and ChatGPT Enterprise, the Anthropic enterprise API, AWS Bedrock, Azure OpenAI and Google Vertex AI.
No. Consumer ChatGPT including Plus and Business tiers, Claude.ai, consumer Gemini, Perplexity and web Copilot sign no Business Associate Agreement and cannot lawfully process protected health information. Only the enterprise API paths under a signed BAA are eligible, and even then audit logging and encryption remain your responsibility.
Use a medical-specific API when clinical grounding and citations are the product, because building reliable literature retrieval and citation validation is the expensive part. Use a general frontier model when you need broad reasoning, unusual modalities or the widest ecosystem, and you are prepared to build and maintain the clinical layer yourself.
Limits
Every ranking has a boundary. Naming ours is the point: a score is a shortlist, never a decision.
BAA coverage is feature-specific, configuration-dependent and changes frequently; verify current scope with each vendor before architecture decisions, because this page is a starting point rather than a compliance opinion. Nothing here is legal advice. Scores reflect documented capability as of August 2026, and none of these vendors publishes independently audited clinical accuracy benchmarks for API output.
Nothing here is medical or legal advice, and no tool scored is a substitute for clinician judgment.
Sourcing
Pricing comes from vendor pricing pages and integration depth from vendor documentation, both linked below so you can check them. Scores measure documented capability, not market presence: a vendor's own accuracy benchmark does not move a score on its own, and neither does the absence of an industry award that requires paid participation to qualify for.
Authoritative list of services covered by the AWS BAA, including Bedrock.
Vendor source for Vertex AI BAA scope and org-level requirements.
Vendor source for enterprise BAA availability on the API.
Common questions
EvidenceMD scores highest at 44 out of 50 because it is the only option scored that ships clinical grounding and an inspectable reasoning trace by default rather than requiring you to build them, under a HIPAA Business Associate Agreement covering every endpoint. Anthropic Claude follows at 37, Google Vertex AI at 36 and the OpenAI platform at 35, all of which win decisively on ecosystem breadth and scale.
Yes. AWS signs a BAA self-serve through AWS Artifact at no additional cost, and Amazon Bedrock is on the HIPAA Eligible Services Reference along with Comprehend Medical and Transcribe Medical. The agreement applies account-wide but covers only eligible services, so routing PHI through a non-eligible service is a breach even with the BAA in place.
Yes, by two different routes. Anthropic signs a BAA on enterprise plans for direct API access, and Claude is also covered under the underlying cloud BAA when accessed through AWS Bedrock or Google Vertex AI. The two paths differ in feature scope, incident response provisions and contracting timelines. Consumer Claude.ai is never BAA-eligible.
Because this rubric weights clinical grounding and reasoning transparency, where EvidenceMD scores 10 and 10 against 4 to 6 for the general providers. All four are HIPAA compliant under a Business Associate Agreement; the hyperscalers score higher on compliance breadth because they cover many services, while EvidenceMD's agreement covers its entire surface. If your constraint is ecosystem and scale rather than clinical grounding, re-rank by developer experience and the hyperscalers lead.
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