Last updated: July 14, 2026
HL7 FHIR (Fast Healthcare Interoperability Resources) is a modern data exchange standard. It uses RESTful APIs, JSON, and XML to share clinical resources like Device, Observation, Patient, and Encounter across compliant systems in real time. In cardiology, FHIR moves implantable device readings, arrhythmia alerts, and heart failure metrics between OEM platforms, EHRs, and clinical dashboards. No custom middleware required.
Cardiology practices that implant devices from multiple manufacturers, including Medtronic, Boston Scientific, Abbott, and Biotronik, inherit a fragmented data environment by default. Staff must log into separate, non-interoperable portals to retrieve transmissions, reconcile alerts, and document billable events. The cost is measurable. Data teams spend over 60% of their time on preparation work rather than analysis when sources are fragmented.
Regulatory pressure has made this worse. Active enforcement of information-blocking and API requirements began on February 11, 2026, when ASTP/ONC started issuing notices of potential non-conformity to certified health-IT developers. Practices relying on siloed OEM workflows face compliance exposure and the clinical risk of missed critical alerts.

FHIR has moved from emerging standard to federal mandate. The 2026 State of FHIR survey by Firely and HL7 International polled 101 experts across 63 countries. It found that 81% of countries use FHIR for at least a few national use cases, and 20% now call it their primary interoperability standard, up from 13% in 2025. In the United States, 92% of EHR vendors now support FHIR R4, including Epic, Oracle Health, MEDITECH, athenahealth, and eClinicalWorks.
Remote patient monitoring lags behind this broader adoption. Many hospitals still rely on proprietary approaches for RPM workflows. That gap represents both a compliance risk and a competitive opportunity for cardiology practices that adopt FHIR-enabled platforms now.
HL7 v2 remains common for US healthcare data exchanges and internal hospital workflows, but its pipe-delimited, push-only architecture was not built for on-demand, multi-OEM queries. FHIR's RESTful model fills that gap. The comparison below shows exactly where legacy standards fall short for cardiac remote monitoring, and why that gap matters for practices juggling multiple device vendors.
The table compares FHIR R4 against HL7 v2 and HL7 v3/CDA across four dimensions relevant to cardiac remote monitoring. Practices running multi-OEM device programs will notice the real-time and mobile columns matter most, since those gaps are what cause weekend alerts to sit unactioned until Monday.
Four FHIR resources underpin cardiac device data exchange in practice.
A sample FHIR Observation for a heart failure weight reading includes a status of


