Interoperability used to be discussed as if it were a technical inconvenience, a problem of mismatched formats and outdated interfaces. That framing is no longer credible. Interoperability is now a contest over access to clinical reality: who can retrieve records quickly, who can build services on top of those records, and who must remain blind to the information that shapes care. The recent surge in searches for TEFCA, FHIR, and USCDI reflects a broader recognition that data exchange is becoming a policy instrument, not merely an IT project.
TEFCA: a national framework, with real consequences for trust
The Trusted Exchange Framework and Common Agreement (TEFCA) aims to create a consistent national approach to health information exchange. Its core ambition is straightforward: enable exchange across networks with common rules. The Federal Register publication of TEFCA outlines the framework and its intent, as described in the Federal Register notice on TEFCA. The Assistant Secretary for Technology Policy provides implementation details and resources on the ASTP TEFCA page.
The practical question is whether TEFCA produces real interoperability or merely reorganizes intermediaries. Health systems already exchange data through regional health information exchanges, private networks, and vendor-led frameworks. TEFCA’s promise is harmonization. Its risk is bureaucracy without usability.
Yet the significance is undeniable. If TEFCA succeeds, it could reduce the friction clinicians face when patients arrive with incomplete records. It could improve emergency care, care transitions, and patient access. It could also create new leverage points for governance and compliance.
HTI-1: decision support transparency enters certification policy
Interoperability is not only about moving data. It is also about how data is used to influence decisions. The ONC’s Health Data, Technology, and Interoperability (HTI-1) final rule introduces requirements that speak directly to algorithmic decision support and predictive models. The Federal Register publication of HTI-1 describes “algorithm transparency” and the policy intent to bring more visibility into model performance and use, as presented in the HTI-1 final rule publication. The ASTP overview page for HTI-1 resources provides supporting material and implementation guidance.
This rule matters because clinical AI increasingly depends on data streams that must be trustworthy and interpretable. A predictive model that flags sepsis risk is only as reliable as the data it ingests and the documentation that explains its limitations. HTI-1 pushes the field toward a culture where algorithms are expected to be describable, not merely effective.
USCDI: defining the minimum viable clinical record
The United States Core Data for Interoperability (USCDI) defines data classes and elements intended to support nationwide exchange. It is a policy instrument that shapes what must be captured and exchanged. Changes to USCDI affect interoperability because they determine what the system treats as essential.
ONC’s Standards Bulletin 2024-2 describes updates in USCDI v5, including new data classes and elements, as summarized in the ONC Standards Bulletin 2024-2. Broader context and the submission process appear in the USCDI information page United States Core Data for Interoperability.
USCDI is not glamorous. It is foundational. Without agreement on core data elements, interoperability becomes a series of ad hoc translations. With agreement, a record can travel with fewer losses. For AI and decision support, this determines whether models can generalize across systems or remain trapped in local data silos.
FHIR and US Core: a lingua franca with limits
FHIR has become a default language for modern interoperability projects, yet it is often misunderstood as a simple solution. Standards adoption can still result in partial implementation and inconsistent profiles. The U.S. Core Implementation Guide roadmap shows that even within FHIR, governance decisions about versions and profiles can shape timelines and compatibility, as explained in the US Core roadmap. The policy framing for FHIR’s role in interoperability is outlined on healthit.gov’s FHIR page, which discusses federal action planning.
FHIR improves exchange by creating a structured format. It does not solve semantic alignment by itself. Two systems can exchange a lab value in FHIR format while disagreeing on units, reference ranges, or clinical meaning. That is why governance and implementation guides matter as much as standards adoption.
Data-driven decision support: the promise and the constraint
The appeal of “data-driven decision support” is obvious. A clinician could receive alerts based on longitudinal records, identify care gaps, and deliver personalized recommendations. For patients, data-driven tools could provide clear access to their history and reduce duplicative testing.
The constraint is trust. Decision support systems can only be as credible as their transparency, validation, and integration into workflow. Interoperability that floods clinicians with outside records without context can increase burden. Interoperability that enables targeted summarization and reliable retrieval can reduce burden.
HTI-1’s focus on decision support interventions suggests a future where the ability to explain a model becomes a compliance requirement. That cultural shift may be the most important element of the policy agenda.
The power question: who controls access and interpretation
Interoperability debates often surface as complaints about vendor lock-in. The deeper issue is economic. Data access enables new services, from remote monitoring to population health analytics to AI-assisted care coordination. Entities that control exchange pathways can influence who gets to innovate.
A patient-centered view insists that health data belongs to patients in a practical sense: accessible, portable, and usable. A market-centered view treats data access as a competitive asset. Policy is now mediating that tension.
What to watch next
Three developments will shape the next phase. First, TEFCA implementation and whether it reduces friction in real clinical settings. Second, HTI-1 enforcement and whether transparency requirements become meaningful in practice. Third, the evolution of USCDI and FHIR profiles, which will determine whether data exchange supports usable decision support or produces noisy, bloated records.
Interoperability is no longer about whether systems can exchange data. It is about whether exchange can be trusted, audited, and used to improve care without overwhelming clinicians. That is a governance challenge, and it will decide whether the digital health era delivers on its long-promised value.
