Has Healthcare Solved Interoperability?

Healthcare has made significant progress in connecting information. Standards, APIs, integration platforms and health information exchanges have made it increasingly possible for different healthcare systems to exchange data. Yet interoperability remains an unfinished problem. Information is still fragmented across organizations, systems and devices, and in many parts of the world important health information remains trapped in legacy systems, disconnected records or paper-based processes.

Even where information can be exchanged, another challenge remains. Connecting information does not necessarily mean that healthcare can understand it. A laboratory result has greater meaning when considered alongside clinical history. A physiological observation becomes more useful when viewed against previous measurements and changes over time. A hospital admission is better understood when the care team can see what happened before the patient arrived and what happens after discharge.

The question, therefore, is moving beyond whether healthcare can connect information. It is how that connected information can be brought together in a way that preserves context and contributes to a continuous understanding of the individual.

This is where technology is beginning to change the nature of healthcare. Physiological sensing can provide information outside the traditional clinical encounter. Connected medical devices can extend observation into the bedside and beyond the hospital. Wearables can contribute information from everyday life. Machine learning can identify patterns across large volumes of information. Digital twins can provide new ways of looking at changing health states. Clinical systems, laboratories and imaging continue to provide essential sources of medical knowledge. None of these technologies needs to replace the others. Their value can increase when their contributions can be understood together.

This is the perspective behind Forecura HIOS™. Forecura is not intended to compete with the interoperability standards, integration platforms, health information exchanges or connectivity technologies that already connect healthcare. Those capabilities remain essential. HIOS is designed to build upon them by providing an intelligence and orchestration layer across the healthcare environment.

The distinction is important. Interoperability enables information to move between systems. HIOS is designed to bring information from different sources together, preserve its clinical and longitudinal context, and orchestrate the intelligence that can emerge when those contributions are considered together over time. An existing EHR can remain an EHR. A laboratory system can remain a laboratory system. Medical devices can continue to perform their intended functions. Imaging platforms, monitoring systems, RPM technologies and other healthcare technologies can remain part of the existing environment. HIOS provides a layer through which their contributions can become part of a broader health intelligence environment.

The opportunity is therefore not to create another isolated technology stack. It is to make the technology healthcare already has work together more effectively.

As more sources become connected, the potential for understanding also grows. A single physiological assessment provides one observation. A clinical encounter provides another. Laboratory results, imaging, bedside observations, emergency care, home monitoring and subsequent assessments add further context. When these contributions remain connected across time, they begin to describe not only where a person is today, but how their health has changed.

Technology will continue to evolve. New sensors will emerge, medical devices will become more capable, computational models will improve and new forms of health data will become available. The healthcare environment will continue to become more connected. The greater opportunity is to ensure that increasing connectivity does not simply produce more information and more systems. It should produce better context, better understanding and ultimately better decisions.