Editor's note: A previous version of this article mistakenly said that OMNY added 4 billion encounters.
Data transformation company OMNY Health has added 4 billion unstructured notes to its data network, resulting in deeper clinical context about the nearly 80 million de-identified patients on its platform.
OMNY has combined the new unstructured note data that were collected in electronic health records with the patient data on its platform to make a more comprehensive profile of its 80 million patients. The additional context could help users of the platform understand, for example, the complexities of why a patient didn’t respond well to a treatment.
The additional data represent multiple visits a patient has done with a provider and the various notes the organization has on the patient. OMNY cleans and structures the data to make them research-grade and compliant with regulation, executives said. The data are being used to answer novel research questions and to train AI models on real patient data.
“We focus on creating a longitudinal journey that really understands the patient experience, it really understands variations in care delivery, and it really starts to provide transparency into how we can drive better outcomes. And we do that by linking this broader data,” OMNY CEO Mitesh Rao, M.D., said in an interview.
OMNY is focused on partnering directly with clinical organizations like larger integrated delivery networks, nonprofits, academic medical centers and specialty groups. It is partnered with 43 provider organizations and plans to double its partnerships by the end of the year.
While other companies are transforming unstructured data within the EHR to make them usable for the industry, Rao said the company’s data are more diverse in the care settings it represents and are geographically representative of the U.S.
“To date, no one's done it at this scale, at this level of depth, and now this level of call it a research asset to come forward. It's pretty unprecedented,” Rao said.
He continued: “The underlying systems that we leverage in healthcare are purposefully designed to lock up data, make it really hard to get use out of and, frankly, to make sure that it's collected in ways that are not usable. And so turning that unrefined data into something that's actually deep, where you can get the information out of it is, I think, a really powerful mission, and that's where our focus is,” Rao explained.
To help organizations train AI models, OMNY has filters that help developers ensure they are using the appropriate data for their AI use cases. Trying to match the appropriate patient data with the AI use case will lead to more accuracy in algorithms and responsible use of AI.
“Because we work directly with the health system partners, we've developed predefined filtering criteria that allow the use cases, the types of organizations eligible to gain that access right to ensure responsible use,” Rao explained.
OMNY’s platform connects the healthcare ecosystem through its living data layer, and the company has helped connect researchers to funding opportunities with its customers. The platform can help identify the best matched partners for the research at hand.
In the first quarter of 2025, since the Trump administration has led Washington, Rao said the company has been busier connecting researchers with funding opportunities, because some grant money has been frozen at the National Institutes of Health, and federal contracts have been canceled.
Later this year, OMNY is considering international expansion into Southeast Asia, South America and Europe. The company is also considering fundraising later this year or early next year, Rao said, but the company is currently sustaining itself on the capital it has raised to date.
In January, OMNY added six new employees to its roster to help build the company.