Interoperability Risks in U.S. Healthcare: Managing Security, Privacy, and Patient Safety

• Posted on December 23, 2025
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• 5 minutes read

As interoperability expands across the health system, interoperability risks in U.S. healthcare are becoming harder to ignore, especially for organizations operating at scale. As data moves across EHRs, APIs, HIEs, IoMT devices, and cloud platforms, exposure has expanded faster than governance, security controls, and regulatory oversight.

When interoperability increases risk exposure

Interoperability mandates and the 21st Century Cures Act have succeeded in moving data more easily between providers, payers, applications, and patients. Each new connection, whether a FHIR API, HIE interface, TEFCA QHIN, or third party integration, also creates another access path to highly sensitive information.

• In 2025, 500 large U.S. healthcare breaches had been reported year‑to‑date to HHS OCR, impacting over 37.5 million people and averaging about 76,000 individuals per breach.  Hacking and third party exposures continue to dominate incident reports. While breach disclosures rarely label incidents as interoperability driven, multiple studies show that hospitals participating in health information exchanges face higher IT breach risk than those that are not.
  
• Interoperability also increases blast radius. A single compromised connection or misconfigured cloud resource can expose data across multiple hospitals, payers, and applications, not just one system or database.

Privacy risks created by healthcare interoperability

HIPAA was built for a world of covered entities, business associates, and bounded clinical systems. It was not designed for an ecosystem where PHI routinely flows into consumer applications, analytics platforms, and data aggregators through standardized APIs. Once data leaves the EHR, both patients and providers often lose practical control over how it is used.

• Federal rules now require providers to avoid information blocking and support API based patient access. When patients direct their data to non covered applications, that information can be profiled, combined with consumer data, or resold with limited regulatory restriction.
• Legal and policy analyses point to a widening gap. Large scale aggregation of medical, behavioral, genomic, and social data is accelerating, while the U.S. still lacks a unified health privacy framework designed for an interoperable ecosystem.

Operational strain and patient safety risks

Interoperability does not automatically translate into better care. Without strong governance, it can introduce operational strain and patient safety risk.

• Studies of U.S. health information exchange show clinicians contending with duplicated, conflicting, and poorly organized data from multiple sources. The result is higher cognitive load and increased risk of missing clinically important information.
• Post‑breach and compliance responses also add burden. One recent analysis found that hospital data breaches were associated with a 66% increase in employed IT staff and a 57% increase in outsourced IT services, reflecting heavy investments in technology and reporting rather than direct patient care. 
• Documentation and quality reporting programs built on interoperable data can also drive data capture for its own sake. Many clinicians report spending more time managing information flows and less time delivering care, contributing directly to burnout.

These challenges illustrate how interoperability risks in U.S. healthcare extend beyond cybersecurity and directly affect clinical operations and patient safety.

How government has responded so far

To its credit, the federal government has acknowledged these risks, but policy responses continue to lag behind the realities of open, API driven health data exchange.

• The HIPAA Security Rule and subsequent guidance on APIs and application based access emphasize risk analysis, encryption, authentication, and patient education. HHS has issued technical guidance and enforcement actions aimed at strengthening security as data sharing expands.
• The 21st Century Cures Act information blocking rules, TEFCA, and CMS data sharing requirements include privacy and security provisions. However, these frameworks still rely heavily on legacy HIPAA concepts, even as PHI increasingly moves into non covered and mixed clinical consumer environments.

Civil society groups have warned that federal efforts to consolidate and link datasets for research or oversight may unintentionally increase the impact of any single breach.

To date, policy has prioritized enabling data exchange and layering safeguards on top, rather than redesigning privacy and security for a highly connected health data economy.

Why interoperability risks persist in U.S. healthcare

For healthcare decision makers, these risks are not isolated issues to patch. They are structural outcomes of how interoperability is implemented today.

• Perimeter thinking persists: Many organizations still rely on perimeter based security models built around VPNs and firewalls. In reality, EHRs, IoMT devices, and applications now operate across multiple clouds, partner networks, and home environments. Once an attacker breaches the perimeter, limited segmentation often allows rapid lateral movement to EHRs, devices, and file shares.
• Legacy and unmanaged IoMT: Connected medical devices frequently run outdated firmware and weak security controls. As these devices are integrated into interoperable data pipelines, they significantly expand the number of exploitable endpoints.
• Fragmented accountability: When breaches span EHR vendor APIs, HIEs, cloud infrastructure, and third party applications, accountability becomes fragmented. Contractual boundaries and regulatory silos slow response and weaken incentives to invest in shared defenses.

As long as interoperability is treated primarily as a technical connectivity problem rather than a socio‑technical risk problem, these dynamics will persist.​

A future‑ready risk agenda for healthcare leaders

For U.S. healthcare leaders, the strategic challenge is not whether to pursue interoperability, but how to govern it. Data sharing should not occur without commensurate protection and accountability at every step.

Pragmatic priorities for the next 3–5 years should include:

Architect for zero trust, not just connectivity

Shift from moving data between systems to verifying every identity, device, and transaction. This includes identity centered access controls, continuous verification, and segmentation across EHRs, HIEs, APIs, and IoMT environments.

Treat interoperability as critical‑infrastructure risk

Treat interoperable platforms such as EHRs, HIEs, TEFCA QHINs, and major API hubs as critical enterprise assets. Include them in formal risk registers, conduct scenario based exercises, and ensure board level visibility.

Push for modernized privacy law and contracts

Support modernization of privacy policy at the federal and state level to extend protections beyond HIPAA. At the same time, strengthen vendor and application contracts around security controls, breach notification timelines, and downstream data use.

Design for clinician and patient usability

Invest in workflows that prioritize, filter, and contextualize incoming data rather than delivering raw feeds. Clear patient facing explanations and consent tools can set realistic expectations about data use and sharing.

Interoperability with guardrails by design

The next phase of U.S. health data strategy must reject the false choice between openness and safety. Interoperability without built in guardrails is no longer progress. It is preventable systemic risk.

Leading healthcare organizations will stand out not by how many APIs they expose, but by how well they govern each exchange, including who accesses the data, how it is used, and how quickly harm can be contained. For healthcare leaders, interoperability now belongs alongside clinical quality and financial stewardship as a core risk domain.