EHR integration is the connection between a healthcare tool and an electronic health record system. It can involve reading patient data, writing notes, launching inside the EHR, syncing tasks, or exchanging structured information through APIs or interface engines.
When reviewing AI tools, EHR integration should be checked for supported vendors, write-back behavior, permissions, audit logs, implementation effort, and whether the workflow actually reduces clinician burden.
Application scenario: In workflow review, this term helps teams map a vendor claim to the care setting, data flow, integration point, user handoff, and oversight step where it applies. Procurement impact: Buyers should evaluate evidence, interoperability effort, security and privacy controls, pricing assumptions, support, and compliance responsibilities before shortlisting or contracting for a tool that depends on this capability.
Sources and review notes
These links support definition-level research and do not establish the regulatory status, safety, or suitability of any product.
ONC's 2025 SAFER System Management guidance recommends multidisciplinary configuration, validation, maintenance, and monitoring of EHR hardware, software, and system-to-system APIs. ONC's standardized API certification test method defines conformance testing for specific certified API modules, including adopted FHIR, US Core, and SMART requirements, while noting that application registration is not third-party application vetting. HL7 FHIR R4 defines normative RESTful interactions and standardized resource interfaces for health-data exchange. These sources provide safety and conformance baselines but do not prove that a product supports a specific EHR, interface engine, implementation guide, data set, workflow, or version; certification or a generic 'FHIR supported' claim does not validate local semantics, write-back safety, reliability, security, or burden reduction. Teams must inventory read and write scope, exact profiles and versions, terminology and field mappings, patient and encounter matching, authentication and least privilege, consent and PHI boundaries, provenance and audit events, idempotency and duplicate handling, acknowledgements and reconciliation, latency and stale data, interface failure visibility, downtime and recovery, test environments and representative cases, change control, rollback, end-to-end monitoring, clinical approval, and accountable support ownership.
