Clinical Reference & Evidence
A

AMBOSS AI Mode

AMBOSS AI Mode turns clinical questions into concise answers grounded in the AMBOSS medical library, selected US guidelines and a drug database. It links answers to underlying sources, highlights differing recommendations and adapts the response to the clinician's specialty. The product supports professional review rather than making independent treatment decisions.

Clinical Care is available through the browser and mobile apps, with access still subject to rollout. It is currently included in AMBOSS subscriptions. A chart workflow integration provides reference access without patient data; patient context and structured chart updates remain later development stages. The current service prohibits entering patient information and restricts emergency use. AMBOSS continues to operate under its own brand.

AI Health Index verifiedOctober 14, 2026
Compare AMBOSS AI Mode with other vendors
Founded
—
Headquarters
Berlin, Germany
Categories
clinical-reference-and-evidence
Indexed Products
AI Mode Clinical Care, LiSA
Buyer Segments
Physicians, Clinical reference teams, Hospitals, Medical education institutions
Assessment

Capability Axes

An AI Health Index grade measures what a buyer can verify from public sources on the date shown. It is not a rating of how good the product is. A vendor can build an excellent system and grade low on an axis because it publishes nothing an outsider can check. How grades read

AI Capability
AA on AI CentralityThe artificial intelligence is the product. Remove the model and there is nothing left to sell.
Vendor Published

Natural language retrieval and generated clinical summaries define AI Mode. Removing the models removes this product's question answering experience, although the parent AMBOSS platform retains its medical library, examination preparation and other reference tools.

BB on Autonomy and Oversight ModelThe oversight structure is described and one part is missing, commonly the threshold at which the system stops or what happens after it is wrong.
Vendor Published

Responses link to their sources, flag conflicting guidance and indicate insufficient information. Clinicians retain decisions, and emergency use is restricted. The product does not specify numerical confidence thresholds or a formal process for escalating an uncertain answer.

BB on Model and Technology TransparencyThe approach or the suppliers are named without the version and update discipline behind them. Naming a supplier is the entry to this band both here and on Model Supply Chain Disclosure, which ask different questions of the same disclosure: who receives the data, and what produces the output.
Vendor Published

The system combines curated reference retrieval with language generation, and its evaluated agent is called LiSA 1.0. OpenAI and Google support AI processing. A complete mapping of model versions, training adaptations and production update changes is unspecified.

BB on Model Supply Chain DisclosureSubstantial partial disclosure, or a chain that is structurally short: an in house build, a cleared model that cannot be quietly swapped, or a deployment where the transfer does not occur at all. Naming the model provider exits the band below into this one; the axis rises from here on the completeness of the party list and on the terms that govern data once it arrives.
Vendor Published

OpenAI handles language generation without retaining inputs or using them for training. Google Vertex reranks results under a training prohibition, and MongoDB stores AI data. Model versions and complete retention terms for every processing party remain unspecified.

AA on Clinical and Operational EvidencePeer reviewed or independently evaluated performance, prospective and multi site where the claim requires it, with the method available to read. The grade describes the strength of the evidence, not its direction: a rigorous study that found no benefit grades by its design, and the note leads with what it found.
Third Party Estimated

The independent Stanford and Harvard NOHARM evaluation includes LiSA in a benchmark of 1,100 consultation tasks. Clinical retrieval systems produced fewer harmful errors than general models, but remained vulnerable to altered case wording. This measures consultation responses, not patient outcomes.

BB on AI Safety and PHI StewardshipCategorical commitments are published, such as no training on customer data, without the retention schedule behind them.
Vendor Published

Inputs remain available for product optimization until account deletion, while OpenAI uses zero retention and cannot train on them. Users must remove patient identifiers. First party model training and a complete safety incident response process remain unspecified.

Regulatory and Compliance
BB on HIPAA and BAA PostureBusiness associate status is stated and supported by a substantive privacy document, with the agreement or its scope not fully published. For a vendor outside the United States, an equivalent regime documented to this depth grades here. A vendor whose product does not process protected health information grades here too when it says so plainly and explains the scope, with a service privacy document behind it: stating a position a buyer can rely on is the posture this axis grades, and the band above is closed to it because there is no agreement to publish.
Vendor Published

Clinical Care excludes patient information, and users must remove personal data before submitting a question. The service privacy policy covers AI inputs and processing. This is a reference workflow outside a patient data processing agreement.

DD on Security Certifications and Trust CenterControls are asserted with nothing independent behind them, or nothing is published. Read the note before concluding anything: this is the grade most often corrected on a second pass, because assurance material frequently sits on a parent domain or inside an old announcement rather than on the product pages.
Vendor Published

TLS and restricted administrator access protect the service. Certifications attached to analytics or infrastructure providers do not establish AMBOSS assurance. A company security attestation or stated independent penetration testing cadence is not established.

CC on FDA and Regulatory StatusNo device claim is made and the product is scoped accordingly. Most administrative and operational products sit here and are not penalized for it, because this axis grades the appropriateness of the positioning rather than possession of a clearance.
Vendor Published

AI Mode supplies information for professional review and is not an independent diagnostic or treatment tool. Clinical Care is restricted to healthcare professionals in the US, Canada, Australia and Qatar; other countries receive a literature research scope.

AA on AI Governance and Bias DisclosureA bias or fairness evaluation with a stated method, subgroup performance, or an independent audit of model behavior. Subgroup performance means published results compared across the groups the product serves, clinical and physiological as well as demographic, so a buyer can see where it underperforms.
Third Party Estimated

The independent NOHARM study tests LiSA within a specialist reviewed benchmark, including controlled variations in case wording and potential harm from omitted actions. These tests characterize model behavior; they do not establish demographic fairness in clinical deployment.

CC on AI Liability and RecourseMechanisms exist that let someone challenge an output, such as audit trails, source traceability or review before commit, with nothing standing behind the output and no route for the harmed party.
Vendor Published

Inline citations let clinicians inspect the basis of an answer and compare conflicting guidance before using it. Clinical decisions remain the user's responsibility. The subscription refund policy does not create an obligation to correct harmful AI output.

Integration and Deployment
CC on EHR and Interoperability DepthIntegration is claimed through standards or a middleware layer with no system named and nothing to verify.
Vendor Published

FHIR supports the integration roadmap. The live first phase opens clinical research inside a chart workflow without patient data; chart reading is forthcoming and structured writing remains in development. Named production EHR connections are unspecified.

BB on Deployment Model and Data ResidencyOptions and residency are stated with isolation or the processing path left open.
Vendor Published

Browser and mobile access use hosted services. AI database content is stored through MongoDB in the US, with cross border safeguards. Tenant isolation and the complete location of model processing remain unspecified.

Commercial
AA on Commercial TransparencyPublished tiers with figures, a stated unit of charge, and a route to start without a sales conversation.
Vendor Published

Clinician membership costs $29.99 per month or $21.58 per month billed annually. AI Mode is currently included, with access subject to rollout. Institutional licensing uses custom quotes, and a future premium offering remains possible.

BB on Setting and Specialty CoverageCoverage is named with validation behind part of it.
Third Party Estimated

AI Mode adapts responses to a clinician's specialty. NOHARM evaluates consultation tasks across 10 specialties, supporting this reference use. It does not establish equivalent performance across inpatient emergencies, every specialty or all patient populations.

Commercial

Pricing

Vendor-published figures are labeled as such. Figures labeled “Estimated” are derived from third-party sources and have not been confirmed by the vendor.

Entry Price Pricing Basis BAA Tier Implementation Source
$29.99 per month; $21.58 per month billed annually
$29.99 baseline
Clinician membership billed monthly or annually; institution licensing by quote. Patient information is prohibited in the current Clinical Care service. No separate amount stated for individual membership. Vendor Published

AI Mode is currently included in subscriptions, but access remains subject to rollout and future premium packaging may change.