Samwise Healthcare IT Newsletter
Thursday, July 9, 2026
Epic President Sumit Rana to step down in August
Sumit Rana, president of Epic Systems and the company’s longtime head of research and development, announced he will leave the EHR giant on August 14. Rana shared the news in a July 3 staff email, citing the November 2025 death of his father and a desire to be present for his mother in India. A 30-year Epic veteran who many industry observers considered a potential successor to 82-year-old founder and CEO Judy Faulkner, Rana expressed confidence in the company’s future. Epic said a group of leaders Rana helped mentor will step up to assume expanded responsibilities.
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Pearl Health lands $110M to expand AI platform for Medicare providers
Pearl Health has secured $110 million in new funding to scale its AI-powered platform for primary care physicians participating in Medicare value-based care programs. The company focuses on helping independent and small-group practices succeed in risk-based payment models by surfacing actionable clinical and financial insights from patient data. With more than 3,000 physicians and 150,000 Medicare patients on its platform, Pearl says its tools help identify high-risk patients earlier and reduce unnecessary utilization. The funding round adds to growing investor interest in AI solutions targeting primary care economics as CMS value-based care participation continues to expand.
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KLAS: Epic grows global EHR market share as Oracle sees mixed results abroad
Epic Systems continued gaining ground in international markets over the past year, according to a new KLAS Research report, while Oracle Health saw a mixed picture of wins and contract losses outside the United States. Epic’s global expansion has accelerated as health systems in Europe, Australia, and the Middle East increasingly seek a unified EHR platform with deep AI integration. Oracle, which acquired Cerner in 2022, has faced implementation challenges in some international markets even as it has secured new clients elsewhere. The diverging trajectories underscore the intensifying competition for EHR contracts among non-US health systems.
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AI hallucinations force healthcare CIOs to rethink governance and validation
Healthcare chief information officers are recalibrating their artificial intelligence strategies in response to persistent concerns about AI hallucinations—instances where models generate plausible but incorrect clinical information. According to coverage from HIMSS Media, CIOs are moving away from a “deploy and monitor” approach toward more formal validation frameworks that require clinical sign-off before AI tools reach frontline staff. Key concerns include AI-generated referrals to nonexistent studies, inaccurate medication recommendations, and flawed diagnostic summaries. Governance structures are evolving to include cross-functional committees of clinical, legal, and IT leaders who collectively assess AI model outputs before and after deployment.
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AI accountability is now healthcare’s next big challenge
As artificial intelligence adoption accelerates across hospitals and health systems, a new consensus is emerging among healthcare leaders: accountability structures have not kept pace with deployment speed. A growing chorus of clinicians, ethicists, and technology officers argue that health systems need clearer chains of responsibility when AI tools contribute to adverse patient events or poor clinical decisions. Key unresolved questions include who bears liability when an AI-assisted diagnosis is wrong, how errors should be disclosed to patients, and whether current malpractice frameworks adequately address algorithmic decision-making. Experts call for federal guidance that balances innovation with clear accountability standards.
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How Mayo Clinic works to ensure its AI algorithms are vetted for safety
Mayo Clinic has developed a structured internal review process to evaluate artificial intelligence tools before they are deployed in clinical settings, according to a profile featuring Dr. John Halamka, Mayo’s president of global health, who spoke at HIMSS26. Mayo’s vetting framework emphasizes prospective validation using the health system’s own patient populations rather than relying solely on vendor-supplied benchmarks. The process includes bias assessments, performance monitoring post-deployment, and mandatory clinical champion involvement before any AI tool reaches a patient-facing workflow. Mayo’s approach is increasingly cited as a model for large academic medical centers navigating rapid AI adoption without compromising patient safety.
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UCSD launches institute to put health AI research into clinical practice
The University of California San Diego has launched a new Institute for Applied Health Intelligence aimed at bridging the gap between academic AI research and real-world clinical implementation. The institute will work with UC San Diego Health’s clinical teams to identify specific workflow problems that AI can address, then rapidly test and validate solutions within the health system’s own environment. Leaders say the goal is to move promising AI research off the bench and into the clinic faster than traditional academic timelines allow. The initiative reflects a broader push among academic medical centers to build internal capacity for translational health AI rather than relying entirely on commercial vendors.
Sources: Healthcare IT News Share ↗ ✉︎ Email 💬 Text
Pediatric care deserts need a new delivery model, not just more clinicians
Nearly four in five U.S. counties are pediatric care deserts, and Dr. Patricia Hayes of Imagine Pediatrics argues that simply recruiting more physicians to underserved areas misses the point. Hayes told Healthcare IT News that the real problem is a care model built around episodic clinic visits rather than continuous family relationships. Her organization provides 24/7 virtual and in-home care for Medicaid-covered children with complex needs, treating the medical home as a relationship, not a location. The fix requires integrating telehealth into a continuous care model—with shared records, clear escalation paths, and caregiver support—rather than deploying it as a standalone digital front door.
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Curated by JD · samwise.agency
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