Data & Storage · Integration

HL7

Add HL7 to your product for your customers, and give your AI agents governed access to it.

Embed an HL7 integration so your healthcare customers can exchange clinical messages with your product through the interface they already run, instead of you building a bespoke feed per site. Every site profiles the standard differently, so message and field mapping is configuration per customer rather than code. Clinical data is sensitive, so access is scoped per tenant and every message is logged. fastn handles per-customer connection details, retries, and upkeep.

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In your product

Embedded for your customers. Per-tenant auth, no per-customer code, maintained by fastn.

Let customers send messages from their own interface into your product, mapped to the fields you need.

Write messages back so updates in your product reach the systems clinicians actually use.

Map each site's own message profile and optional fields as configuration rather than code.

Trigger your product when a message arrives so downstream work starts without a batch job.

For your AI agents

Governed, audited access for the agents you build, through the MCP server.

An agent reads recent messages to ground an answer in the customer's own data, within scoped permissions.

An agent flags messages that failed field validation so an integration owner can act.

Every read is logged per tenant, so what informed an answer is traceable.

Example prompt

Show the messages received in the last hour that failed field validation and summarise what was missing.

Set up HL7 in 4 steps

  1. 01Open the HL7 connector from your fastn dashboard.
  2. 02Have each customer supply their own interface endpoint and credentials.
  3. 03Map the message types and fields your product exchanges, then enable actions and triggers.
  4. 04Call them from your product, or expose them to an agent through the MCP server.

Why teams use the HL7 integration

What you get by embedding it with fastn instead of building it yourself.

  • Ship an HL7 integration without building it. Your customers connect their own HL7 account inside your product and work their records, datasets and fields there, with no per-customer code on your side.
  • Handle the part that actually costs time: schemas differ per customer and change without notice, and volumes can be large. fastn owns the auth, token refresh, rate limits, pagination and breaking-change fixes, so an HL7 update is not your on-call problem.
  • One integration serves your product and your agents. The same governed HL7 connection powers in-product features and gives AI agents scoped, audited access, so you read and write your customers' data where it already lives without wiring it twice.

Used by these teams

EngineeringData & Analytics

Compare with

EpicOracle HealthHero Health

Often used alongside

Tools the same teams tend to run next to HL7, across other categories.

Anthropic ClaudeOpenAIAzure OpenAIHugging Face

HL7 integration FAQ

How do I add an HL7 integration to my product?

Enable the HL7 connector in your fastn dashboard, then let each customer authenticate their own HL7 account. fastn handles the OAuth flow, token storage and refresh per tenant, so there is no HL7 client code in your app and no per-customer branch in your codebase. Setup is 4 steps.

Do my customers each connect their own HL7 account?

Yes. Every connection is scoped to the individual customer, so each authorises their own HL7 account and only ever sees their own records, datasets and fields. That per-tenant isolation is the point of an embedded integration: you support the long tail of customer setups without maintaining an integration per customer.

Can AI agents use this HL7 integration?

Yes. The same connection is exposed to your agents through the fastn MCP gateway, with permissions scoped per tenant and every call audited. An agent reads recent messages to ground an answer in the customer's own data, within scoped permissions.

Who maintains the HL7 integration?

fastn does. When HL7 changes an endpoint, deprecates a field or alters its auth, the fix lands in the connector rather than in your backlog, and your customers' connections keep working.

Does the HL7 integration adapt when a customer's schema changes?

Schema and field mapping is configuration per customer, so a change on their side is a mapping update rather than a code change and a release on yours.

How are large HL7 reads handled?

Pagination and throttling are handled for you, and initial backfills are rate-limited so a large import does not exhaust a customer's API allowance.

What can I build with the HL7 integration?

A common starting point: send messages from their own interface into your product, mapped to the fields you need. Teams also use it for the other use cases listed above, and expose it to agents for governed reads and writes.

How much does the HL7 integration cost?

It is included. Pricing is based on connected accounts, not on how many connectors you enable, so adding HL7 does not change your per-connector cost. You can start free with 3 connected accounts.

Add HL7 to your product

Start free with 3 connected accounts. No sales call required, and no per-customer integration code.

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