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Medical record review API

Build medical record intelligence into your existing software.

Add supported medical record ingestion, structured case analysis, source-linked chronology output and reporting workflows to your product, without building the processing engine.

REST cases and events·Evidence graph with page anchors·Hosted, your cloud, or your network

Integrate where your users already work.

The 6 places a cited chronology changes the product it sits inside.

Case management

Create cases from intake and keep processing state in sync, so the reviewer never leaves the queue.

Medical record retrieval

Add a structured review service after document collection, delivered inside the same portal.

Claims administration

Surface a source-linked medical timeline inside the claims workflow, next to the reserve.

IME and QME platforms

Populate draft report workflows for authorized evaluators from the assembled, cited record.

Review vendors

Push outputs into existing reviewer queues and stop re-keying facts between systems.

Legal-tech applications

Build case-specific search, chronology and report experiences on the evidence graph.

Structured outputs, not another manual export step.

Ingest, process, retrieve. Events and evidence data populate your own UI; nobody downloads a PDF and re-types it.

Your applicationIntake, case management, claims or reviewer queue
→
Case over RESTCreate the case, reference authorized documents
→
ProcessingRead, sort, deduplicate, extract, cite
→
Events and structured dataState changes pushed to you; facts and citations queried
→
Your reviewer, your UIChronology and report rendered where your users already work

Illustrative flow. Endpoint paths, authentication and the event list come from the technical documentation after approval, not from this page.

What the API covers.

Each capability with where it stands today. "Confirm on the call" means it exists in the product and the exact contract for your integration is settled in discovery.

CapabilityWhat it doesStatus
Case creationCreate and manage cases over REST. Medical Data API →Available
File ingestionUpload or reference authorized documents; size, format and transport confirmed per integrationConfirm on the call
Processing eventsSubscribe to the events you care about instead of pollingAvailable
Evidence graphQuery extracted facts and relationships by case, entity type or date range. Evidence Graph API →Available
Source citationsEvery fact carries its page anchor and source documentAvailable
Chronology and report outputsStructured content or branded exports. Export controls →Available
AuthenticationCredentials scoped to your tenancy after the agreementConfirm on the call
Tenant isolationPartner and client segregation; architecture review on requestConfirm on the call
Rate limits and quotasAgreed for your volume in discoveryConfirm on the call
EnvironmentsSynthetic-case testing before production; sandbox shape agreed per integrationConfirm on the call

A practical path from proof of concept to production.

6 steps, in the order they happen. Regulated data does not move until step 3 is signed.

  1. Describe the requirementCase volume, average pages, and the outputs your product needs.
  2. Technical fit callAuthentication, tenancy, file transfer, events, retention. Your engineers and ours.
  3. Agreement and permissionsThe right contract for the data involved, BAA included where PHI is in scope.
  4. Test with synthetic casesNon-PHI sample cases in the approved environment. No production data yet.
  5. Validate the integrationData mapping, citation integrity, error behaviour, retries and the reviewer handoff.
  6. ProductionContracted scope, deployment, observation, iteration.

Deploy for your architecture and compliance needs.

Data residency, network access and processing model differ per option; each is documented in its agreement.

Managed platform and API

Hosted by Medrecords AI, integrated over the API. Fastest to a proof of concept.

Your cloud tenancy

A flat annual license with the platform in your own AWS or Azure account and model inference billed there.

Pricing →

Your own network

The whole stack inside your infrastructure, air-gap available, for the contracts that require it.

Deployment options →

The questions your security and engineering reviewers will ask.

Bring them to the technical call; where the answer is "it depends on your integration" we say so instead of guessing.

TopicWhere the answer lives
PHI, BAA and permitted usesHIPAA and BAA · DPA
Encryption and credential handlingTrust Center
Tenancy, logs and auditabilityArchitecture review on the technical call
Uptime and support commitmentsSet out in the agreement; no blanket SLA is published here
Error handling, idempotency, concurrencyTechnical documentation after approval
Versioning and deprecationTechnical documentation after approval
Webhook securityTechnical documentation after approval
Data retention and deletionDPA and the agreement
Model training termsCustomer records never train a model; contractual under the BAA
Source provenanceVerifiable citations · Evidence graph

Pricing for your use case and volume.

Usage or enterprise licensing, depending on throughput, hosting, support and integration needs. Tell us your monthly case volume and average pages and we scope a pilot. No per-call fees or SLA tiers are published; what we quote is written into the agreement.

Self-Service meters deduplicated pages from 10 cents down to 5 cents at volume, duplicates never billed; the 2 annual licenses are on the pricing page. API partners usually land on a license.

API and integrations, answered.

By approval during a technical discovery, so that tenancy, data agreements and volume are settled before credentials exist. There is no self-serve key page today, and we would rather say that than imply one.

Testing happens with synthetic, non-PHI sample cases in an approved environment before any production data moves. Whether that is a separate sandbox tenancy or a scoped test account for your integration is agreed on the technical call.

After the agreement, by the Medrecords AI team, scoped to your tenancy. Rotation and revocation are covered in the security documentation. Discuss the specifics with our technical team.

PDFs, scanned images and handwritten pages are read; DICOM imaging has its own review path. Transport, size limits and batch behaviour are confirmed for your integration. Medical records OCR →

A case moves from created through processing to ready, and your endpoint receives events as it does, so your system stays current without polling. The event list is confirmed against the current documentation on the call. Medical Data API →

Yes. Every extracted fact carries its page anchor and source document, so citations survive the API boundary into your own system. Field names and resolution are in the documentation. Evidence Graph API →

Yes. There is a flat annual license in your own cloud tenancy and one inside your own network, air-gap available. Responsibilities per option are set out in the agreement. Pricing and deployment →

Usage is metered on deduplicated pages, or covered by an annual license without metering. Rate limits and throughput for your volume are agreed in the technical discovery, not published as a single number.

A BAA where PHI is involved, a DPA, and the permitted-use terms in the agreement. Encryption, tenancy, logging and retention are documented in the Trust Center. Records never train a model.

A proof of concept with synthetic cases is measured in weeks; production depends on your data mapping, error handling and reviewer handoff. We give a timeline on the technical call, after seeing your architecture, not before.

Let's design the integration around your product.

Tell us what your product does and what it needs from the record. The technical team replies with the next step: a fit call, documentation eligibility, or an honest "not yet".

No patient records, names or case details in this form. Secure intake instructions come after the first call. Prefer email? [email protected].

We reply from [email protected]. Sending this form does not add you to a mailing list. Privacy policy.

Thanks. The technical team has it.

You will hear from [email protected] with a proposed fit call and what to bring to it. If a calendar is faster, pick a 30-minute slot and mention the API.