How Recorded Health Is Making True Logical Interoperability a Reality in 2025

Article At A Glance

• Traditional EHRs silo fragmented health data, potentially hindering care and patient understanding.

• Recorded Health uses advanced ontologies and AI-powered knowledge graphs to achieve true logical interoperability – preserving data meaning, context, intent, and purpose across all systems.

• Our ontology-driven approach structures unstructured data into computable formats, enabling Information Dominance and Decision Advantage.

• Logical interoperability is enabling connected and patient-focused care for all.

The healthcare industry is at a crossroads in 2025. Despite technological advances in digital health records, traditional Electronic Health Records (EHRs) are still notoriously fragmented. 

Most of a patient’s vital information remains trapped in silos, which impedes the necessary understanding and collaboration that patients and providers rely on.

But the problem runs deeper than simple data exchange. What healthcare needs is true logical interoperability – the ability to correctly interpret, reason over, and apply the semantics and intended use of exchanged data. This means data and context remain preserved across every system and provider.

At Recorded Health, our mission is to change the status quo by building a smarter, patient-centered foundation for the future of care: ontology-driven Personal Clinical Knowledge Graphs (PCKGs) that deliver on the concept of true logical interoperability.

Traditional EHRs Fall Short In Modern Healthcare

EHRs have gone to great lengths to digitize medical histories, lab results, and even treatments. But true interoperability – the effortless and meaningful exchange of health data across disparate, disconnected systems – remains elusive. With patients’ records still scattered across multiple clinics, hospitals, and medical facilities, valuable information often goes missing when it's needed the most. In fact, recent studies put nearly 80% of the world’s health data as unstructured and often inaccessible at a moment’s notice.

The lack of unified data hinders clinical collaboration and places an unnecessary burden on patients to remember and correctly relay their own health information. 

When up to 90% of a conversation with a provider is lost post-appointment, it's no wonder patients are feeling increasingly confused when it comes to their healthcare outcomes and options.

What’s missing isn’t just connectivity, but the ability to understand data semantics. Without this semantic understanding, even “connected” systems will fail to provide the right context and intended use that makes that very data valuable.

The Ontology-Driven Personal Clinical Knowledge Graph

Recorded Health is looking to change this narrative through the use of modern ontologies (standardized, shared “languages” for health data) self hosted. Our ontological framework turns raw, unstructured data into semantically-rich, computable formats that preserve meaning and reasoning. 

Our goal? Create a solution to serve the nearly 60% of clinicians who report struggling to send or receive patient data across their disparate EHRs.

Our ontology organizes and models the 'ground truth' that lives within the 80% of unstructured health data. We seek to bring out the clinical reality hidden in narrative notes and imaging reports – as well as make full use of provider observations. 

By structuring this raw data into a computable format, the ontology takes fragmented information and turns it into a coherent, semantically-rich knowledge base.

These ontological frameworks create a way for various healthcare systems and applications to speak the same language when working with patient data. Our technology draws on the latest advances in Natural Language Processing (NLP) as well as machine learning and inference engines to change how data is received and understood. 

The ontology understands the meaning and relationships of connected data points, which can ultimately unlock new knowledge derived from these relationships. The result is a much more patient-centric method by which providers can integrate, translate, and continually update medical data from every source.

The result is a consolidated and always-current “digital twin” for each patient. In essence, PCKGs form a “living health record”, one that stays updated and semantically aware no matter where an individual's health journey may take them.

PCKGs offer new ways to interact with health data – including new forms of predictive and prescriptive analytics. Through logical interoperability, the system can reason over data just as a real-world clinician might. 

For instance, imagine a system that not only tracks glucose patterns but understands the clinical context and intent behind treatment decisions – and thereby offers smart suggestions by which providers and patients can adjust an insulin regimen.

Or consider how this living record could leverage semantic relationships to flag gaps in care or identify emerging health risks in real time based on inferred knowledge.

A Smarter Path to Patient Empowerment and Safer Outcomes

Recorded Health's ontology-driven approach operationalizes health data to deliver what we call "Information Dominance”.

With Information Dominance, we gain total visibility and semantic understanding of all relevant health information, and then create a "Decision Advantage" for both providers and patients. The goal is to enable faster, more accurate, and ultra-personalized healthcare decision making based on contextually-aware data.

Recorded Health platforms like MyDocSaid make use of standard data models and advanced analytics that equip patients with more context than ever before. 

By preserving data semantics, patients now have full access to understandable clinical histories that are backed up by plain-language education and LLM-powered insights. True logical interoperability now allows patients and their caregivers to see beyond the data points to learn how each piece of health data connects to their overall health story.

That empowerment then feeds a more positive patient-provider relationship, and the ripple effects can be felt throughout the entire healthcare system. A true digital twin powered by logical interoperability can offer providers and payers evidence-based tools for all aspects of medical practice. 

Decision support, population health management, and care coordination can all enjoy higher-quality and more personalized healthcare as ontology enables the system to reason, infer, and maintain the clinical context that makes each patient unique.

These innovations aren’t built in a vacuum nor based on pop culture conjectures. Each feature of our solution is rooted in research and real-world validation through partners around the industry. We are proud to bring our tools and insights to bear on the biggest challenges facing self-insured employers, VA Health Systems, commercial, and public insurers. 

Our goal? To make care more connected, more insightful, and more patient-centered through true logical interoperability that transforms how we understand and act on health data.

Join Recorded Health On The Path To Greater Informational Interoperability

Ontology-driven logical interoperability shouldn’t be a pipe dream. It should be the standard of healthcare, especially when it comes to providing hope and a chance at recovery to those in crisis.

By breaking down barriers between data systems and empowering semantic understanding throughout the care continuum, we’re charting a new course for healthcare: one where every patient and every care team can act with a full, accurate, and proactive understanding of individual health.Se

e what a true digital health transformation looks like with MyDocSaid from RecordedHealth. Experience how logical data interoperability upgrades patient care.

Join us in our mission to change how we view and interact with data in healthcare settings, and visit us online to find the latest results and research from our ongoing efforts. 

Download MyDocSaid today.