Healthcare Interoperability Challenges: Key Solutions

By Canvas Medical June 23, 2026

Healthcare IT

Key Takeaways

• Healthcare interoperability challenges fall into three distinct barrier types: technical, semantic, and process-based.
• Legacy EMR architectures and inconsistent FHIR adoption are the most persistent technical obstacles to reliable health data exchange.
• The 21st Century Cures Act, enforced through ONC regulations effective April 2021, prohibits information blocking and has accelerated FHIR adoption across the industry.
• Health information exchanges reduce the burden of point-to-point integrations by serving as a shared data infrastructure between organizations.
• A FHIR-native, programmable EMR with write support and developer tooling gives organizations the most direct control over how patient data moves. Healthcare interoperability challenges occur when patient data cannot move reliably between EMR systems, devices, and health IT platforms, resulting in duplicated tests, delayed treatments, and significant administrative overhead. Despite decades of investment in electronic medical record systems, many providers still rely on fax machines to share records between organizations. The Office of the National Coordinator for Health Information Technology has documented how the lack of interoperability contributes to medical errors and operational inefficiencies that harm both patients and provider organizations.

What Are Healthcare Interoperability Challenges?

Healthcare interoperability is the ability of different EMR systems, medical devices, and health IT platforms to exchange and actually use patient data. Exchanging data and using it effectively are two different things, and the gap between them is where most problems live. Much of modern interoperability relies on FHIR (Fast Healthcare Interoperability Resources), the standard that defines how health systems structure and exchange clinical data over a REST API. When interoperability works, a cardiologist in one health system can access lab results from a primary care physician in another network without picking up the phone. When it fails, patients repeat tests, providers miss critical information, and care coordination breaks down. Interoperability challenges typically show up in three ways:

• Technical barriers arise when EMR vendors use proprietary data formats that do not communicate with each other.
• Semantic barriers occur when systems can exchange data but interpret clinical information differently.
• Process barriers emerge when workflows and organizational policies do not support efficient data sharing between organizations.

Root Causes of Healthcare Interoperability Challenges

The barriers to interoperability are technical, financial, and political. Each creates distinct obstacles.

Technical Root Causes

Many EMR systems were built before interoperability standards existed. Legacy architectures store health information in formats that resist easy translation. Even systems built on similar technologies may implement data fields differently, making automated data exchange unreliable. FHIR has improved this situation considerably, but adoption remains uneven. Some vendors implement FHIR partially or inconsistently, limiting its practical effectiveness for real-world health information exchange.

Financial Root Causes

Interoperability requires sustained investment in integration development, ongoing maintenance, and staff training. For smaller practices, those costs can be prohibitive. Some EMR vendors have historically charged significant fees for data access, creating economic disincentives for sharing.

Political and Regulatory Root Causes

HIPAA compliance requirements mean organizations must carefully manage how patient data is shared with external parties. At the same time, federal policy has pushed in the other direction. The 21st Century Cures Act, enacted in 2016 and implemented through ONC regulations effective April 2021, prohibits information blocking practices that interfere with the access, exchange, or use of electronic health information.

How Health Systems Address Interoperability Today

Healthcare organizations are closing interoperability gaps through two primary approaches: health information exchange participation and FHIR adoption.

Health Information Exchange Participation

Health information exchanges (HIEs) serve as a shared infrastructure between different healthcare organizations. By connecting to an HIE, a hospital can access records from participating providers without establishing direct connections with each one. Public health agencies also rely on HIE infrastructure for disease surveillance and population health reporting.

FHIR Adoption

FHIR has become the dominant interoperability standard for new healthcare technology development. Organizations evaluating EMR systems should examine how comprehensively vendors implement FHIR, including write capabilities and developer tooling, not just read access. A system that can only read FHIR data is significantly more limited than one that can also write back to the record.

How Canvas Medical Reduces Interoperability Challenges

Canvas Medical was built with interoperability as a core design principle, not bolted on after the fact. As a programmable care modeling platform, it gives organizations the ability to extend and customize integrations without waiting on vendor roadmaps. The platform provides a FHIR R4 API with 37 resources and more writable FHIR endpoints than most other EMRs, giving organizations the ability to build integrations that both read and update patient information programmatically. That write capability is a meaningful distinction from platforms that only expose read-only endpoints. Part of what makes that bidirectional exchange reliable is how Canvas structures the underlying data. Every piece of clinical, financial, and operational data is modeled using standard ontologies: LOINC, ICD-10, CPT, and HCC, and linked through a patient-centered schema that maintains referential integrity across the entire record. When a lab result arrives, a diagnosis is updated, or a care plan changes, the data is semantically meaningful before it leaves the system. There is no translation layer between what Canvas stores and what external systems receive. Canvas also supports SMART on FHIR with sandbox environments and documented examples. For teams building their own solutions, the Canvas SDK provides direct access to real-time clinical and operational events, so developers can automate workflows and maintain control over how data moves through their systems. Additional interoperability infrastructure Canvas supports includes:

• ADT feeds from partners including Bamboo Health, Collective, PointClickCare, Particle Health, and Zus
• C-CDA import and export
• CDS Hooks support for FHIR-based clinical decision support
• Care Plan API for programmatic care plan interaction
  SMART on FHIR support in Canvas extends further than most EMRs. Because Canvas stores all data in FHIR format as its core data model, not as an integration layer on top of a proprietary schema, SMART on FHIR applications receive complete, structured patient data rather than a partial read-only view.

Practical Steps for Achieving Interoperability

There is no single fix for interoperability challenges, but there is a logical sequence that gives organizations the best chance of making lasting progress.

• Audit your current state: Identify where data is siloed, where manual workarounds exist, and which integrations are the highest priority.
• Evaluate vendor FHIR capabilities carefully: Write support and event-driven tooling to determine how much control you actually have.
• Participate in regional HIEs: They reduce integration complexity and provide access to a broader network of provider records.
• Invest in staff training: Technical solutions fail when the people using them do not understand the new workflows.
• Plan for ongoing maintenance: Standards evolve, systems change, and integrations require continuous attention. Organizations that treat interoperability as a continuous operational priority, rather than a one-time implementation, consistently achieve better outcomes than those that treat it as a box to check.

Building Toward Connected Care

Progress on interoperability requires sustained attention from healthcare organizations, technology vendors, and policymakers working in the same direction. The organizations making the most headway have chosen infrastructure designed to support that work from the ground up, giving their clinical and technical teams the tools to extend and customize as needs change.