Epic FHIR API Integration

Epic FHIR APIs. From clinical data to product value.

Move from a list of FHIR resources to a working product integration. Validate supported operations, authorization, data meaning and customer endpoints before committing to the architecture.

Review my API requirements Explore the resource guide

For digital health teams, healthcare software companies and health systems.

A resource is only part of the contract

01
Product requirement
Which decision or action does this data support?
02
Resource + operation
Confirm read, search or supported write behavior.
03
Customer + permissions
Verify endpoint, scopes and local configuration.
04
Usable product data
Map terminology, pagination and error handling.

Illustrative implementation plan · no patient data

Your starting point

Make the uncertain parts explicit before development.

Clinical data access

Results, medications, conditions and demographics.

What we define together

Resource-to-feature mapping and representative payload tests.

Write-back workflows

Your product needs to send information into the chart.

What we define together

Supported-operation checks, clinical ownership and validation rules.

Population data

Your workload needs asynchronous cohort-scale retrieval.

What we define together

Export eligibility, scheduling, reconciliation and refresh strategy.

Resource & operation planner

Start with what your feature needs to do.

Turn clinical resources into a reliable feature.

A resource list is only the beginning. Agree on the fields, terminology, identifiers and gaps your product can tolerate.

Example needs: Demographics, conditions, results and medication information.
Contract checks: Supported search parameters, references, terminology and pagination.
Product tests: Missing fields, partial history and clinically meaningful display.

Scope decision

A resource-to-feature mapping with representative payload tests.

The integration contract

A request succeeds only when the whole contract agrees.

Your product feature

Useful clinical information

Not just a successful HTTP response.

Endpoint

Customer-specific base URL and environment.

Identity

App configuration, authorization and allowed operations.

Resource

Version, parameters, references and terminology.

Behavior

Pagination, errors, freshness and reconciliation.

Data quality & compatibility

Make the edge cases part of the first build.

Version and operation support

Confirm the customer’s supported API version and each required operation.

Capability checks before architecture sign-off

Terminology and identifiers

Preserve meaning when mapping codes, units and references into your product.

Documented mapping and unresolved-data handling

Incomplete and paginated data

Follow supported pagination and avoid treating an incomplete result as a complete history.

Completeness and loading-state tests

Errors and retries

Separate authorization failures, invalid requests and temporary problems.

Safe retry policy, monitoring and support diagnostics

Bulk data reality check

Large data sets need a deliberate retrieval strategy.

Epic’s official Bulk Data guidance describes Group export, asynchronous completion and specific workload constraints. Review it against your intended data volume and refresh needs.

Confirm before choosing export

The customer authorizes the required patient group.
The required resources and APIs are supported.
Processing and download windows fit the workflow.
Your product can reconcile repeated records.

Do not assume

An immediate response with all records.
Incremental exports through the _since parameter.
A universal cross-customer configuration.
Suitability for ongoing warehouse synchronization.

Read Epic’s Bulk Data guidance ↗

API implementation questions

Clarity before the first production request.

Does FHIR mean every resource behaves the same everywhere?

No. Validate documented operations, search parameters, supported versions and customer configuration. A shared standard does not remove implementation differences.

Can we build entirely against the sandbox?

The sandbox is useful for development with synthetic data. Customer-specific permissions, payload behavior and workflow acceptance still require validation in the target environment.

Will you map the data into our existing product model?

Mapping can be included in the scope. We define required fields, terminology, source references and the behavior for information that cannot be mapped cleanly.

What is included in the production handoff?

Agree on resource mappings, configuration, validation evidence, logging boundaries, monitoring and escalation procedures. Avoid patient data in logs and support requests.

Plan with the right evidence

Confirm the workflow. Then confirm the access.

Epic’s requirements and supported interfaces can change. Use the official documentation alongside your target customer’s implementation requirements.

Epic interoperability catalog ↗Epic developer documentation ↗Get the Epic Integration Checklist →

Does sandbox success guarantee production access?

No. Production use requires the relevant app setup and customer-specific activation, permissions and validation.

What should we prepare for a scoping conversation?

Bring your intended workflow, required data and operations, target health systems, current integration status and any launch constraints. Do not share patient data.

Nirmitee.io provides independent integration engineering. This page does not imply Epic endorsement or guarantee customer approval.

Talk through your requirements

Let’s map the next useful step.

Tell us what your product needs to do and where you are in the integration journey. We’ll follow up to clarify the scope, dependencies and appropriate next step.

Your workflow and target customer
The data and operations you need
What is already built—and what is blocked

hello@nirmitee.io →

Request received

Thank you for sharing the context.

Our team will review your requirements and follow up on scope and next steps.