Interoperability has improved on paper, but many providers still face brittle data exchange in production. The challenge is no longer whether APIs exist. The challenge is whether exchanged data can be trusted, matched, and used in real clinical decisions without manual cleanup.
The last-mile reality
Most organizations now support modern exchange standards. But patients still appear with fragmented histories, incomplete medication lists, and missing imaging context. That gap happens in the last mile: patient matching, source data normalization, and reconciliation into the workflow that clinicians actually use.
Why API availability is not enough
Health systems can connect to multiple networks and still fail to deliver useful interoperability. Data quality varies across source systems. Terminology mappings are inconsistent. And many teams underestimate the operational burden of monitoring feeds, handling edge cases, and fixing silent failures.
The operational fix
Teams need interoperability operations, not just interoperability projects. That means owning data quality dashboards, service-level objectives for exchange latency, and clear escalation paths when clinical data is delayed or malformed. It also means involving clinicians in defining which external data is genuinely high-value.
Journalist takeaway
The next phase of interoperability is reliability engineering. Winners will be health systems that treat exchange as a core operational product with measurable quality, not a one-time compliance milestone.
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