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Interoperability in Healthcare: Complete Guide | ClearDATA

Written by natalie.yahnke | Mar 24, 2025 10:46:00 AM

Today’s healthcare systems generate an astounding amount of data—an average hospital alone produces 50 petabytes annually, with healthcare data as a whole growing at a rate of 47% each year. But despite this wealth of information, only 43% of hospitals are routinely interoperable, meaning crucial patient data is often siloed, fragmented, and inaccessible when it’s needed most.

The impact of interoperability in healthcare is undeniable. When physicians can access and share interoperable patient information, over 75% report improvements in quality of care, efficiency, patient safety, and care coordination. Seamless data exchange enhances patient outcomes, streamlines workflows, and reduces redundancies, empowering providers to make informed, timely decisions.

In this blog, we’ll dive into what interoperability in healthcare is, why it’s vital, and how it can revolutionize patient care and operational efficiency across healthcare organizations.

What Is Interoperability in Healthcare?

Interoperability in healthcare is the ability of different systems, devices, and applications to seamlessly exchange and integrate data. It ensures that healthcare information is accessible to the right people at the right time, ultimately enhancing patient care and improving health outcomes.

What Is an Example of Interoperability in Healthcare?

Consider a patient who receives emergency care while traveling. Once back home, they need follow-up treatment with their primary physician. With interoperable systems in place, the emergency room’s electronic health records (EHR) can be instantly accessed by the primary care provider, offering a complete view of treatments, prescribed medications, and test results.

This seamless sharing of information allows the primary physician to provide informed, effective care—without duplicating tests or relying solely on patient memory. Interoperability in healthcare bridges gaps in care and ensures continuity across healthcare settings, enhancing both the patient experience and overall care quality.

As organizations increasingly prioritize interoperability in healthcare, several transformative trends are shaping the industry:

  • Standardized Data Formats: Adoption of Common Data Models (CDMs) is on the rise, helping healthcare organizations address the challenge of inconsistent health data. Standardizing formats allows researchers to more easily interpret unstructured clinical data, improving collaboration and research quality.
  • Artificial Intelligence: AI and machine learning are increasingly used to analyze complex health data. With the U.S. healthcare AI market valued at $6 billion in 2023 and projected to reach $195 billion by 2034, AI’s role in interoperability will only grow, offering new ways to interpret and act on health information.

In addition, initiatives like the Fast Healthcare Interoperability Resources (FHIR) standard are defining how healthcare information can be exchanged between systems, thereby promoting greater efficiency and collaboration.

With these trends, the future of interoperability in healthcare looks promising, offering the potential to revolutionize patient care by ensuring that crucial health information is readily available and actionable across the entire continuum of care.

Healthcare Interoperability Challenges

While interoperability in healthcare is within technical reach, several challenges—spanning technology, organizational structure, and security—still limit its full adoption. Here’s a closer look at the primary hurdles to achieving seamless interoperability in healthcare:

Fragmented Healthcare Systems

One of the most significant challenges is the fragmentation of healthcare systems. Hospitals, clinics, and other providers often use varied electronic health record (EHR) systems that aren’t designed to work together, leading to isolated silos of patient information. 

This lack of interoperability of electronic health records contributes to inefficiencies, duplicated testing, and gaps in patient care, increasing the risk of medical errors and compromising safety.

Lack of Standardization

An absence of universal standards for interoperability adds another layer of complexity. While some providers may use HL7 standards for EHRs, others may use FHIR, making seamless data sharing between systems difficult and prone to errors. Without common standards, interoperability of electronic health records remains a cumbersome and unreliable process.

Growing Number of Healthcare Applications

The increasing variety of healthcare applications further fragments patient data. Critical information often becomes trapped within specific software platforms, creating data silos that prevent smooth data exchange. Additionally, many community health centers and smaller providers may use outdated systems, which don’t integrate well with advanced technologies. This technological divide can make data interoperability a challenge, particularly for organizations with older infrastructures.

Data Privacy and Security Concerns

With an average healthcare organization managing over 42 million sensitive records—50% more than the global average—privacy and security are paramount. Ensuring data security during exchange is challenging, as cybersecurity threats and regulations like HIPAA add complexity to data interoperability efforts. Protecting patient data while enabling smooth access and sharing is essential yet difficult to maintain.

Technological Barriers to Healthcare Interoperability

Legacy systems, inadequate IT infrastructure, and limited technical expertise also hinder interoperability. Many healthcare providers rely on older systems that struggle to communicate with newer platforms, creating data bottlenecks and slowing transfer speeds. Additionally, a shortage of skilled IT professionals in healthcare can limit an organization’s capacity to adopt and maintain advanced interoperability solutions.

The Path to Interoperability: Opportunities for Improvement 

Despite current challenges, the healthcare industry is actively working toward improving data interoperability. Here are some key ways progress is being made:

Cloud-Based Solutions

Cloud-based platforms offer centralized, standardized environments for data exchange, allowing different healthcare systems to communicate seamlessly. By reducing administrative burdens and minimizing errors, these solutions enhance patient outcomes and improve care coordination. For example, cloud computing has streamlined data sharing between providers, leading to better collaboration and overall efficiency in patient care.

New Population Health Software to Improve Data Interoperability

New population health software brings advanced data analytics and streamlined information sharing to healthcare. By giving providers a holistic view of patient health, this software improves care coordination, reduces duplicative testing, and lowers the risk of medication errors. Real-time access to patient data across multiple care settings also helps manage chronic conditions more effectively. Population health software is bridging existing gaps in interoperability, building a more connected and efficient healthcare system.

Enhanced Data Exchange Mechanisms

Emerging technologies like advanced APIs and blockchain are creating secure, efficient ways to exchange healthcare data. For example, blockchain allows hospitals to securely share patient records with other providers, ensuring both data privacy and integrity. These mechanisms help address current interoperability challenges, providing reliable pathways for data to flow across systems without compromising security.

Collaboration and Policy Making

Increased collaboration among healthcare providers, technology vendors, and regulatory bodies is crucial for developing effective interoperability frameworks. By working together, these stakeholders can create policies and incentives that encourage widespread adoption of data interoperability standards. Policy support and cooperative efforts are essential for advancing data-sharing practices and building a unified approach to healthcare interoperability.

The Future of Healthcare Interoperability

Interoperability in healthcare has the power to transform patient care. As advancements in AI, cloud computing, and machine learning continue, we can expect even more sophisticated and efficient solutions that make seamless data exchange the standard. This evolution will open doors to predictive analytics, personalized medicine, and a higher level of patient care.

By understanding and addressing today’s data interoperability challenges—and embracing emerging technologies—healthcare organizations can greatly improve their data-sharing capabilities. This progress ultimately leads to enhanced care coordination, better patient outcomes, and a more connected healthcare system.

If you need help migrating your healthcare system to one that is interoperable and seamless, choose ClearDATA


ClearDATA is the only Cloud Security Posture Management (CSPM) solution specifically built for healthcare. We work with the three major public clouds to keep your data compliant and secure from cyber threats. In addition, our cloud enablement strategies safely migrate your data to the cloud so your healthcare organization can participate effectively in cloud interoperability. 

If you’re ready to be a part of healthcare’s future, speak with a healthcare cloud expert today.