Solving the challenges of interoperability in healthcare

• Data interoperability is key to delivering high-quality healthcare and enabling seamless data sharing across systems and organizations
• Despite persistent challenges, including a lack of standardization and regulatory hurdles, emerging solutions hold real promise
• Prioritizing open data standards, cloud technology, and stakeholder collaboration will be crucial to embracing a more connected, data-driven future for healthcare

Healthcare is becoming increasingly data-driven.¹ Yet the ability to share data across different systems, providers, and even countries remains one of the industry’s biggest hurdles. This capability — known as healthcare interoperability — remains at the forefront of efforts to modernize the delivery of healthcare to patients. 

To fully grasp the scale of this challenge and the solutions available to address it, it’s important to first define what interoperability actually means in the context of healthcare and data sharing. 

Data interoperability in healthcare refers to timely and secure access to, integration of, and use of electronic health data across different information systems.^2–4 It enables data to be shared, exchanged, integrated, and used collaboratively both within and across organizational boundaries.^2–4

The main goal of data interoperability is simple: ensure that all patient data — regardless of where it originates — can be easily understood and used to support care delivery.⁵ In essence, clinical data created in one healthcare system should be gathered, stored, and communicated seamlessly to others, whether that’s a hospital, clinic, pharmacy, or even the patient’s own home.⁵

True interoperability is only possible when all stakeholders agree on the standards, technologies, and terminology necessary for exchanging data between systems. 

The Healthcare Information and Management Systems Society (HIMSS) defines healthcare interoperability as “the ability of different information systems, devices, and applications to access, exchange, and cooperatively use data in a coordinated manner, within and across organizational, regional, and national boundaries, to provide timely and seamless portability of information and optimize the health of individuals and populations globally.”²

Prioritizing interoperability is crucial to delivering high-quality care that puts patients front and center. Without it, data can become siloed, resulting in delays, miscommunication, misdiagnoses, and ultimately, missed opportunities for early intervention.²

As populations age and the rates of chronic conditions continue to rise, seamless data exchange has become more vital than ever. In the US alone, around two-thirds of older adults live with at least two chronic behavioral or physical health conditions — accounting for approximately 66% of total healthcare spending.³ To manage these increasingly complex cases, care teams need real-time access to complete and accurate patient data from diverse sources. Without this visibility, risks increase for redundant testing, harmful treatment interactions, and missed warning signs.³

Beyond improving clinical care, interoperability delivers broader benefits across the healthcare ecosystem:^2–4

• Health plans can use shared data to predict service demand and design more efficient care models
• Government agencies can monitor public health trends and allocate resources more effectively
• Life sciences organizations can leverage larger and more diverse datasets to accelerate research and development 

When all parts of the system are connected through interoperable technology, individuals are no longer seen solely as patients — they are understood more holistically. And that deeper understanding can only contribute to better healthcare delivery.

While the transition to interoperability holds significant promise, the reality of its integration has surfaced several challenges, including:^2,3

• Legacy systems and data silos — many providers still rely on disconnected or outdated technologies. These legacy systems, along with existing data silos, pose one of the biggest barriers to interoperability. Competing interests or inconsistent electronic health record (EHR) platforms further limit seamless data exchange across departments 

• Lack of standardization — although progress is being made, many healthcare providers still use customized EHR systems. These variations can make it hard to translate and share data in a standardized, interoperable format

• Privacy and regulatory hurdles — enabling health information to flow securely between providers raises valid concerns about patient consent.⁶ For this reason, some organizations remain reluctant to change their approach until regulatory guidelines become more defined

• Financial constraints — integrating new technologies and modernizing legacy systems doesn’t come cheap. From purchasing new software to maintaining secure infrastructure, the costs can quickly mount up — especially for smaller organizations  

• Incentive discrepancies — as the saying goes, “too many cooks spoil the broth.” When it comes to healthcare data integration, the involvement of multiple stakeholders — each with their own systems, standards, and priorities — can lead to misaligned goals and fragmented efforts

• Staff training — innovative, data-led tools are only as effective as the people using them. Ensuring staff training is key to unlocking the full potential of integrated systems

Despite the challenges, a variety of emerging solutions are helping healthcare organizations make meaningful progress toward interoperability. The following strategies can support a smooth, seamless, and successful transition — improving data sharing and system-wide efficiency: 

• Embrace open standards — it will probably come as no surprise that effective communication between systems is at the heart of interoperability. One way to enable that is by adopting universal data standards. The Fast Healthcare Interoperability Resources (FHIR) is a leading example. As an open-source framework, FHIR simplifies how data is structured and exchanged across platforms — making it easier for providers and devices to speak the same language^2,3

• Invest in integration platforms — instead of building one-to-one connections between every system, healthcare organizations can streamline interoperability by using integration platforms like Health Information Exchanges (HIEs).⁷ These platforms act as the middleman — normalizing data across formats and making it easier for systems to communicate without added complexity⁷

• Leverage cloud computing — storing and managing data in the cloud isn’t just about convenience, it’s also about scalability and real-time access to critical health data. Cloud-based solutions enable faster, more secure data sharing while reducing the need for on-site infrastructure³

• Strengthen data governance and compliance — with great data comes great responsibility. For interoperability to function effectively, robust data governance is essential. This means establishing clear rules around data access, usage rights, and consent management — all supported by audit trails

• Foster collaboration among stakeholders — effective data sharing doesn’t happen by itself. All stakeholders — including health systems, regulators, and even patients — play a role in building cohesive, interoperable systems. National frameworks like the Trusted Exchange Framework and Common Agreement (TEFCA) offer a strong foundation for aligning efforts and advancing toward connected care⁸

As healthcare becomes increasingly personalized, the ability to share data securely and efficiently is more important than ever. Emerging technologies and evolving policy frameworks are steadily breaking down barriers, allowing healthcare organizations to take meaningful steps toward a more connected future.