Health care data just took a massive leap forward. OMNY Health, a leading data ecosystem, has successfully incorporated 4 billion unstructured clinical notes into its network, opening the door for health care, life sciences, and research organizations to analyze previously unusable medical information. This development could reshape everything from patient care to drug development.
A Breakthrough in Unstructured Data Utilization
Most electronic health records (EHRs) struggle with unstructured data—free-text clinical notes, physician observations, and other non-standardized information. In fact, about 80% of medical data falls into this category, according to a study published in Healthcare Informatics Research. Much of this data is left unprocessed, abandoned, or simply ignored.
By working with provider organizations, including academic medical centers, OMNY Health has taken an unprecedented step in organizing and making sense of this untapped resource. Dr. Mitesh Rao, OMNY’s founder and CEO, compares the challenge to “looking for a needle in a haystack.” With advanced processing techniques, however, the company is changing that reality.
How OMNY Is Making Sense of 4 Billion Notes
Unstructured medical notes contain valuable information on disease progression, treatment responses, and patient outcomes. However, raw clinical notes are messy, inconsistent, and often incomplete. Turning them into something useful is a monumental task.
- OMNY Health employs large language models (LLMs) and proprietary natural language processing (NLP) systems to clean, structure, and de-identify data.
- The notes are then integrated into OMNY’s broader clinical data network, accessible by health systems, pharmaceutical companies, biotech firms, and AI researchers.
- The result: a massive trove of insights that can drive better patient care, accelerate clinical trials, and improve medical research.
This transformation of raw text into structured, research-grade data marks a major milestone in health informatics.
Unlocking New Insights for Health Care and AI
OMNY’s expansion of its data network is more than just an upgrade—it’s a shift in how medical professionals can leverage information. These clinical notes hold crucial details that could shape the future of medical care.
- Understanding Disease Progression: By analyzing physician notes over time, researchers can track how conditions develop and respond to treatment.
- Personalized Medicine: Insights from unstructured data could help tailor treatments to individual patients based on prior experiences recorded in clinical notes.
- AI Training: Large datasets of cleaned and structured notes provide essential material for artificial intelligence models aimed at improving diagnostic accuracy.
Dr. Mark Townsend of Bon Secours Mercy Health emphasized the significance of this breakthrough, stating that unstructured data represents a “treasure trove of untapped insights.” With better access to this information, health care organizations can personalize care and improve decision-making.
What This Means for the Future of Health Care
OMNY’s platform now includes data from more than 500,000 providers across 200+ specialties, covering 85 million patients in all 50 states. The scale of this network presents significant opportunities:
| Benefit | Impact |
|---|---|
| Improved Care Decisions | Providers can access richer patient histories. |
| Faster Drug Development | Researchers gain deeper insights into treatments. |
| Health Equity Research | Social determinants of health are now easier to study. |
Data management has long been a bottleneck in health care innovation. Dr. Rao believes OMNY Health’s move is a step toward greater connectivity and collaboration in the industry.
“For the first time, this type of data has been unlocked from traditional IT systems,” he said. “We see this as a way to work together through a common language of data.”
As AI continues to shape the future of medicine, the ability to access and analyze unstructured data could prove to be one of the most important advancements in modern health care.
