Featured Archives - OMNY Health

Spanning nearly 30 percent of the U.S. population, the de-identified data available includes insights from unstructured clinical notes, electronic medical records, and medical claims

ATLANTA, GA – July 31, 2025 – OMNY Health, the leading healthcare ecosystem for compliant real-world data (RWD) insights at scale, today announced its data network now officially encompasses insights from more than 100 million patients across all 50 U.S. states. This landmark achievement solidifies OMNY Health’s position as a premier source for comprehensive, HIPAA-compliant de-identified RWD, providing life sciences organizations, healthcare providers, and AI innovators with unparalleled access to standardized, rich, longitudinal patient journeys.

Since onboarding its first provider partner in 2020, OMNY Health has expanded to include more than 46 leading healthcare organizations, including St. Luke’s University Health Network, Bon Secours Mercy Health, and Baptist Health System KY & IN, providing a comprehensive view of patient care. The data on its platform spans more than eight years of historical data, including billions of clinical encounters from more than 650,000 providers as well as 6.5 billion clinical notes, making it the deepest repository of unstructured clinical knowledge in the country. The breadth of the OMNY health platform enables deeper insights into disease progression, treatment patterns, and patient outcomes. Additionally, OMNY Health’s data spans every therapeutic area, with most having comprehensive data from more than 10 million patients each, further supporting its diverse use cases across the healthcare ecosystem.

“Unlocking AI’s transformative power in healthcare demands a new approach for collaboration. It’s not just about volume of data, but more importantly, about the quality, diversity, and real-world representation of the data available to researchers,” said Matthew Fenty, Managing Director for Innovation & Strategic Partnerships at St. Luke’s University Health Network. “From their beginnings, OMNY Health has maintained a keen understanding of this critical need and provides a platform that empowers health systems like ours to securely contribute and collectively build the rich, diverse data foundation essential for cutting-edge AI development. Our participation with OMNY Health is a testament to our commitment to advancing patient care through responsible data innovation.”

“The healthcare industry has witnessed time and again how the power of collective knowledge and collaboration can improve the outlook on complex healthcare challenges. The COVID-19 pandemic was a stark reminder of the need for sharing de-identified data to close information gaps,” said Mark Townsend, MD, MHCM, Chief Clinical Digital Ventures Officer, Bon Secours Mercy Health and Accrete Health Partners. “We are proud to partner with OMNY as they continue to bring stakeholders together, ensuring that shared data drives innovation safely and responsibly.”

Brett A. Oliver, MD, Chief Medical Information Officer at Baptist Health System KY & IN, added, “Artificial intelligence is only as smart as the patchwork quilt of information we feed it. At Baptist Health, we’ve learned that real clinical insight—and true equity—emerges only when every thread of the patient story is woven into the model. That’s why OMNY Health’s drive to knit together a living, breathing data network isn’t just helpful; it’s the loom on which tomorrow’s breakthroughs will be spun. We’re thrilled to keep adding squares to that ever‑growing quilt.”

OMNY Health’s proprietary AI, Natural Language Processing (NLP), and Large Language Model (LLM) technologies are central to this achievement, transforming vast amounts of raw, often unstructured, clinical information found in clinical notes into research-ready variables. This unique capability allows researchers to uncover nuances buried in free-text clinician notes – details on symptoms, adverse events, treatment rationales, and social determinants of health – that are critical for a complete understanding of real-world patient experiences.

“Reaching 100 million patient lives is a monumental step forward in our mission to accelerate life-changing innovations through data-driven insights,” said Dr. Mitesh Rao, Founder and CEO of OMNY Health. “This milestone could not have been achieved without the ongoing support of our data partners. We’re incredibly grateful to collaborate with leading organizations that share our vision for advancing healthcare research. As we continue to grow, we look forward to expanding the platform to impact more lives and solve some of the most difficult problems in healthcare.”

OMNY Health plans to continue to expand its dynamic network of specialty health networks, hospitals, academic medical centers, and integrated delivery networks across the U.S., with the goal of achieving more than 125 million patient lives on the platform by the end of 2025. For more information on OMNY Health and its data platform, please visit www.omnyhealth.com.

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About OMNY Health OMNY Health™ is the leading healthcare ecosystem for compliant real-world data insights at scale. OMNY Health connects patients, providers, and life sciences companies by transforming vast amounts of de-identified electronic health record data, clinical notes, and claims data into robust, research-ready insights. Leveraging proprietary AI, NLP, and LLM technologies, OMNY Health accelerates therapeutic innovation, optimizes clinical development, and enhances patient care. For more information, visit www.omnyhealth.com.

The year is 2025, or more than fifteen years since the enaction of The HITECH Act and Meaningful Use. Almost all of the clinical data recorded from ordinary Americans’ physician office visits and hospital stays have now shifted to electronic format. Therefore, increasing emphasis is gradually being placed on the value of real-world data, with the hope that medical knowledge resulting in care improvements can be extracted from the vast amount of information that exists in electronic health records.

Structured vs. Unstructured Clinical Data

This electronic clinical data can be subdivided into two categories – structured and unstructured. Examples of structured data include demographic information, diagnoses and procedures (in the form of clinical codes), medication prescription information, insurance records, and vital signs, while examples of unstructured data include free-text clinical narratives and imaging and test reports.

Both types of clinical information are important and perform complementary functions in real-world data. Structured data contains many basic data elements and is traditionally easier to process, due to its tabular nature. However, unstructured data has been estimated to comprise 80% of clinical data by volume and often provides insights that are absent from structured clinical data and claims data [1]. There is an old saying among medical professionals that “90% of diagnoses can be made using the patient history, and 10% using the physical exam [2]” (notably, both elements are virtually absent from structured EHR data).

What are some of the details captured in the well-written clinical note that are typically excluded from structured EHR data?

Information Extraction from Unstructured Data in an LLM-World

A well-written clinical note contains many details about the patient that are absent from both structured tabular data and claims data. Until just a couple of years ago, the challenge was extracting information from a clinical note into a usable format. However, with the advent of large language models (LLMs), one can present a note as context and ask a favorite LLM questions about the note, such as “Where is the location of this patient’s pain?” or “Why did the patient discontinue lisinopril?” Adaptation of this method enables extraction of information from the note as structured categorical data, which can then be used as structured data.

OMNY Notes: A First-of-its-Kind Clinical Notes Data Product

OMNY Notes is one of our exciting new data products that makes billions of de-identified clinical notes from diverse health systems available to the end-user. Researchers no longer must rely solely on structured EHR and claims data; they can now view the full patient journey with our HIPAA-compliant de-identified linked structured EHR, claims and notes solutions representing more than 75M individuals. No other solution available today provides the combined depth, breadth, and scale of OMNY structured and unstructured data to support improving quality, safety, and efficiency of healthcare delivery and overall public health.

OMNY Foundation
OMNY Linked Claims
OMNY MedTech

References:

[1] https://healthtechmagazine.net/article/2023/05/structured-vs-unstructured-data-in-healthcare-perfcon.

[2] Tsukamoto, Tomoko, et al. “The contribution of the medical history for the diagnosis of simulated cases by medical students.” International Journal of Medical Education 3 (2012).