CEO Craig Limoli talks future of AI health tech Wellsheet

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Wellsheet was founded in New York back in 2015 as a smart electronic health records (EHR) solution for hospital systems and other providers. Its goal was to put information in the hands of clinicians, a mission made even easier with the rise of generative AI.

Fresh off a systemwide rollout into St. Louis, Missouri-based health system Ascension last month, Wellsheet is continuing to grow its presence in the provider space. The company also has partnerships with New Jersey health plan Horizon and EHR company Athenahealth.

“We now have tens of thousands of physicians, nurses, case managers using the product,” CEO and co-founder Craig Limoli said.

Limoli created Wellsheet after working at IBM’s Watson Health as a consultant staffed at hospitals and health systems. Wellsheet summarizes patient charts by putting together data from across medical records into a “single, contextualized view,” he added.

“We were so fortunate to have this infrastructure in place when large language models and generative AI were introduced just a few years ago,” Limoli said. “We were able to apply that on top of this infrastructure of ingesting all this patient data.”

Limoli sat down with Healthcare Brew at the 2025 HLTH conference in Las Vegas to discuss Wellsheet and his plans for the company moving forward.

This interview has been edited for length and clarity.

What did the company look like before generative AI, and what does it look like now?

We’re called Wellsheet because our goal is to put everything a physician needs on a single sheet to make treatment decisions for a patient. Before, our technology was really assembling all of the relevant data points, and we still do that. It’s actually really valuable to have all of the discrete data from the chart side by side with any AI summary.

We’re also deeply embedded in the workflow. [Physicians] use us for rounding, handoff, collaboration with nursing staff and case managers, multidisciplinary discharge planning, and so all of those features leverage the summarization capabilities. When you go into your handoff night note, it’s written for you. When you go to write your discharge summary, it’s written for you, and you just have to tweak and submit. That all is enabled by that underlying infrastructure that we had developed beforehand in terms of ingesting all of that patient data.

Where do you see the company going in the future? Do you plan to provide diagnosis information based on EHR data?

We are bringing together this conjunction of the entire patient record and that guidance that these decision board companies bring to bear, and so we can provide suggestions that are driven by that patient’s particular clinical situation, leveraging AI to determine what is the best treatment path for the patient. So for example, if you are treating a patient with hypertension, there’s a clinical pathway associated with hypertension that will provide guidance, but it requires a lot of legwork…that our AI does for the doctor. So they get the recommendation, they get all the source material, and then they can serve as an executive decision-maker to choose the right course of action for the patient.

How do you see the future of AI in healthcare generally?

There’s this really big imperative for health systems to respond to the impending physician/nursing shortages, and it is necessary for them to use AI to supplement their existing workforce in a way that enables their clinicians to be so much more efficient. The way that we see that playing out is that care teams will have these co-pilots and these agents supporting their every need.