Benefits and Challenges of Interoperability in Healthcare 2026

Patients with access to their complete clinical record become more engaged in their care, manage chronic conditions more effectively, and catch potential issues earlier than patients with fragmented access to their records. Interoperability addresses these information gaps directly, with measurable reductions in medication errors, duplicate imaging, and adverse drug events in healthcare systems that have implemented robust interoperability. Without interoperability, that record stays fragmented across many separate systems, and clinicians make decisions with incomplete information. The design focused on breadth across providers rather than depth within a specific provider type or within a single health care organization.

Tailored strategies to address these disparities will be vital in creating a more equitable and connected healthcare system. By mandating robust practices, the Act compels healthcare providers to prioritise data accessibility, ensuring patients can easily retrieve and share their health information. Low quality data can actually reduce the accuracy of any analytics measure, but it is even more critical at the point of care, where medical decisions are being made.

Interoperability implementation requires investment in integration software (interface engines, integration platforms), specialized integration engineering staff, ongoing maintenance of the connections as systems evolve, security monitoring, and regular audits. Second, the regional HIEs felt that HIPAA guidance on reporting on geographic areas with less than 20,000 patients is both vague and confusing, limiting population health efforts. All providers, including the regional HIEs, also noted the considerable impact of 42 Code of Federal Regulations (CFR) Part 2 (ie, Substance Abuse Confidentiality Regulation) as limiting interoperability and connectivity with BHPs. Platforms like CERTIFY Health help transform interoperability from a technical integration problem into a connected operational architecture that improves both patient experience and financial performance.

Healthcare Interoperability Challenges Draw Renewed Attention

Recent policy efforts such as the 21CCA aim to promote vendor-agnostic integration of external data into the EHRs of all provider types and address information blocking to mitigate challenges. In contrast, for BHPs, interoperability across applications was not discussed; instead, remarks focused on off-the-shelf EHR systems being misaligned to the specific requirements for BHPs, such as lacking additional protections for substance abuse data. Below, we report on the key themes and subthemes of the analysis organized by the domains of the TOE framework, including comparing and contrasting those that cut across organizational types as well as those specific to each individual organization. Our findings suggest that the incorporation of end user considerations into health information technology development, implementation, policy, and standard deployment may support interoperability advancement.

A platform with built-in patient consent management tools makes it simpler to be in compliance. Finally, choosing a vendor that offers the expertise to forge and maintain connections to the healthcare ecosystem can also spare practices from having to find and hire expert IT staff and/or consultants—or taking on the work themselves. While programs such as MIPS and MACRA provide some incentive, not all medical practices and providers receive sufficient financial support to make the transition. With millions of patients and a vast network of providers, a connected SaaS platform such as athenaOne® enhances collaboration between primary care physicians, specialists, hospitals, and ancillary healthcare services. Consider a cloud-based SaaS solution with enterprise-grade security features, including encryption, access controls, and built-in HIPAA compliance measures. Practices that implement a cloud-based SaaS platform with built-in support for HL7, FHIR, CCD, and other standardized formats are able to exchange data efficiently.

Why Healthcare Interoperability Gaps Remain

• For organizations focused on functional interoperability specifically — the capability for systems to exchange data effectively in clinical workflows — see Functional Interoperability in Healthcare for that focused coverage.
• Data normalization and validation help create greater consistency across clinical and claims information, allowing organizations to integrate disparate sources into a more reliable foundation for analysis, reporting and operational decisions.
• Interoperability in healthcare is essential for both patients and healthcare providers as it greatly reduces redundant administrative tasks.
• Some EHR vendors charge to set up each integration to another healthcare IT platform, which means clinicians and healthcare providers may desire more connectivity but bump up against financial constraints, especially at smaller or more rural practices.
• It requires a concerted effort from all stakeholders, including healthcare providers, technology developers and policymakers.
• Effective implementation requires collaboration among stakeholders, including technology vendors, healthcare providers and policymakers.

Interoperability reduces medical errors, eliminates duplicate testing, supports care coordination across providers, enables population health management, and provides the data foundation for AI clinical decision support tools. Interoperability is important because patient care increasingly happens across multiple providers, settings, and time periods, and clinical decisions improve when clinicians have complete patient information rather than fragmented records. Organizations must navigate this complexity while implementing technical interoperability, a process that requires legal and compliance expertise, which many healthcare organizations lack in-house. Ransomware attacks on healthcare systems have increased dramatically, with interoperability connections sometimes serving as the entry vector for broader network compromises. Cross-organizational data sharing requires a consent management infrastructure that many healthcare organizations have not built. Modern AI clinical decision support tools, predictive analytics, and ambient documentation systems depend on access to comprehensive clinical data.

High costs of implementation and ongoing maintenance

It requires a unified operational platform that connects fragmented workflows across the patient journey. Providers often shoulder the costs of building interfaces, while payers, technology vendors, and downstream partners reap many of the financial benefits. As already discussed, healthcare interoperability means that health information can move securely and accurately between different systems so clinicians, payers, and patients all see a healthcare interoperability challenges consistent, up‑to‑date picture of care.

Turning Interoperability Progress into Measurable Value

While the EMR was created by and for a single provider (Regenstrief Institute), most systems available today generate tremendous amounts of data, while lacking the necessary tools for data analytics and integration. Improving healthcare interoperability is a top priority for health systems, clinicians, patients, and even legislators. The two most cited reasons behind efforts to improve interoperability in healthcare were improving patient outcomes and optimizing clinical workflows and performance. Interoperability improves the performance of healthcare organizations with a simplified approach to data integration and analysis. Addressing these challenges requires continued progress on national interoperability policies and standards, along with improvements within individual healthcare data environments.

Reduced medical errors and improved patient safety

While hospitals and physician practices have achieved high levels of EHR adoption, other segments of healthcare remain less connected. Despite widespread adoption of electronic health records and progress in nationwide data exchange, healthcare interoperability challenges continue to limit how effectively organizations can access and use patient information. The compliance complexity grows with the number of participating organizations and connections.

Some EHR vendors charge to set up each integration to another healthcare IT platform, which means clinicians and healthcare providers may desire more connectivity but bump up against financial constraints, especially at smaller or more rural practices. It requires a concerted effort from all stakeholders, including healthcare providers, technology developers and policymakers. Effective implementation requires collaboration among stakeholders, including technology vendors, healthcare providers and policymakers. Interoperability in healthcare is essential for both patients and healthcare providers as it greatly reduces redundant administrative tasks. Data normalization and validation help create greater consistency across clinical and claims information, allowing organizations to integrate disparate sources into a more reliable foundation for analysis, reporting and operational decisions. For organizations focused on functional interoperability specifically — the capability for systems to exchange data effectively in clinical workflows — see Functional Interoperability in Healthcare for that focused coverage.