The electronic health record is already part of the workflow
A platform that asks clinicians to leave their EHR to use it will be used reluctantly, or not at all. Good integration determines whether a new system fits into that workflow or becomes another system clinicians have to work around.
What integration actually involves
Epic is the most widely deployed EHR in US health systems, and its integration surface is well defined. The work is less about the protocol than about the specifics of a given health system's configuration.
Reading patient context
Pulling the demographics, problems, medications, results, and encounter data a platform needs, through the EHR's FHIR APIs, with the scopes and consent model the health system requires.
Writing results back
Putting a finding, an observation, or a document into the chart so the clinician sees it where they expect to. Mapping matters here — the wrong coding or unit makes a correct measurement read as something else.
Launching in context
Opening an application from inside the EHR with the current patient and user already established, so there is no re-authentication and no risk of acting on the wrong record.
Event driven exchange
Reacting to what happens in the EHR as it happens — an order placed, a result filed, a patient admitted — rather than polling for changes on a schedule.
Where projects get stuck
Rarely on the standard. Usually on access and configuration: getting the right approvals from the health system, working within what their build actually exposes, and discovering that a field assumed to be populated is not, or is used differently at one site than another.
Planning for a test environment and a validation period against real configuration, rather than against the documentation, is what keeps a timeline honest.
Most real deployments involve both the modern API surface and older interface feeds from systems around the EHR.
We have delivered Epic integration alongside broader EHR integration work for healthcare data management, and built real time HL7 FHIR R4 exchange across every facility of a multi site hospital network as part of a HIPAA compliant cloud migration completed with no downtime at cutover.
HL7 v2, CCDA and report exports from an oncology EHR parsed, keyed to one master patient index and loaded into PostgreSQL on a schedule, for a healthcare data company.
Read the case study →