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    Home » News » Penn Medicine deploys K Health AI clinical agent
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    Penn Medicine deploys K Health AI clinical agent

    healthadminBy healthadminMay 28, 2026No Comments2 Mins Read
    Penn Medicine deploys K Health AI clinical agent
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    The University of Pennsylvania Health System will deploy K Health’s suite of artificial intelligence clinical agents across the system’s electronic health record systems in a newly announced multi-year partnership.

    The AI ​​agent will first be deployed across Penn Medicine On Demand, the system’s virtual urgent care program. The organization plans to expand the solution across its clinic network to in-person primary care and specific specialties such as cardiology and dermatology.

    Mitchell Schnall, MD, Penn State Medical’s senior vice president of data and technology solutions, said in a statement that the health system sees AI as a “clinical opportunity to achieve our goals of improving patient care.”

    “This research allows us to continue testing how AI can best be used across the field of care,” Schnall said.

    In parallel with the implementation, K Health will provide a “tightly integrated” set of patient and clinician-facing agents within Penn’s existing digital frontage system and EHR, according to a May 27 announcement.

    The organizations will also collaborate on peer-reviewed research on clinical AI in daily practice.

    “As health systems race to develop patient-facing AI strategies, Penn Medicine is choosing to make a significant investment in K Health as part of its clinical AI infrastructure,” Ran Shaul, K Health co-founder and chief product officer, said in a statement. “This is not another point solution, but a layer that prepares for the visit and connects all of the patient’s questions to a secure and navigable path within the system.”

    In late March, K Health announced the launch of PatientGPT alongside Hartford Healthcare.

    The solution allows users to access test results in plain language, ask health-related questions, identify potential drug interactions, schedule in-person visits, and more. Clinicians can also see a summary of the chat. The medical system does not diagnose symptoms, prescribe treatments or operate autonomously, he told Fierce Healthcare.



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