Why Interoperability is Still the Hardest Problem in Digital Health
2026-05-20
Despite decades of effort and a proliferation of standards, getting health systems to talk to each other remains stubbornly difficult. Here's why—and what it will take to change.
Every few years, a new standard or regulation arrives promising to finally solve health data interoperability. HL7, FHIR, the 21st Century Cures Act—each was greeted with cautious optimism. And yet, a clinician moving between hospitals still cannot assume they will see a patient's complete medication history.
The Technical Problem is Mostly Solved
FHIR R4 is a remarkably capable standard. The APIs are well-defined, the data models are expressive, and major EHR vendors now expose compliant endpoints. The tooling has never been better.
The real friction sits elsewhere.
Incentives Don't Align
Health systems compete for patients. Sharing data frictionlessly with a rival network can feel like handing over a competitive advantage. Until reimbursement models explicitly reward coordinated care at scale, the economic incentive to share is weak.
Identity is Unsolved at Scale
Matching a patient record across systems without a national patient identifier is genuinely hard. A surprising percentage of duplicate or mismatched records trace back to simple name variations, transposed birthdates, and address changes.
What Actually Moves the Needle
In practice, progress happens when:
- Payers mandate it through contract requirements with providers
- Patient demand creates market pressure (the patient access APIs from CMS are a meaningful forcing function)
- Shared infrastructure such as regional health information exchanges reduces the per-connection cost
Interoperability is not a technology problem waiting for a better standard. It is a coordination problem that requires aligned incentives, clear governance, and sustained political will.