The Data Frontier Podcast

From Nurse Protocols to Knowledge Graphs: Building Clinically Rigorous AI


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70% of patients think they know where to go for care. They're wrong. That's one of the surprising findings from Clearstep, which built its AI triage engine not on a general purpose LLM, but on the same nurse protocols that triage call centers have trusted for decades, the Schmitt Thompson guidelines, turned into knowledge graphs with rigorous unit testing baked in.

In this episode, Clearstep CEO and Co-Founder Adeel Malik walks through how they encoded clinical reasoning into a system now trusted by Mount Sinai, HCA, Ochsner, and the U.S. military. He demos the patient-facing triage live, shows a new urgent care use case where AI predicts diagnostic tests before the provider even sees the patient, and breaks down what it actually takes to reroute patients to the right level of care at scale.

The conversation ends with his vision for a future where AI has its own NPI, a National Provider Identifier that every doctor in the U.S. gets, and orders lab tests directly, eliminating an entire visit from the patient journey.


Guest Bio

Adeel is the CEO and co-founder of Clearstep, an AI care navigation company that has partnered with some of the leading healthcare institutions in the U.S. (such as Ochsner, HCA, Tufts Medicine, Novant Health, and others) and has helped millions of Americans access the best care for them.

Prior to Clearstep, Adeel was a consultant at Accenture where he worked across pharma, health tech, health systems, and retail. Before Accenture, Adeel also spent 3 years as a neuro-immunology researcher at Johns Hopkins.


Links

https://www.clearstep.health/

https://www.linkedin.com/in/adeel-malik-3ba345ba/

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The Data Frontier PodcastBy Patricia Thaine