Workflow

Traditional mental health intake often means long waits. Vincci Tang and Dr. Phil Klassen of the Davies Award-winning Ontario Shores Centre for Mental Health Services discuss how AI-assisted triage can guide patients to the appropriate care faster.

Kaiser Permanente's Surya Shenoy and Jerri Westphal say that intelligent AI agents can help provide patient education and post-discharge support, but stress that nurses must guide content creation to avoid misinformation.

At HIMSS26, keynote speaker and former president of Tesla Jon McNeill shared the framework Tesla used when first developing the car company and how those lessons can be used in healthcare.

Cleveland Clinic CIO Sarah Hatchett talks about how the health system is leveraging AI for use cases like clinical documentation, coding and sepsis detection to boost productivity for clinical and non-clinical staff.

Virginia Halsey of FDB explains how Model Context Protocols set limits for AI models so they defer to human clinical judgment rather than guessing at answers. This prevents hallucinations that can impact patient safety.

General Catalyst's Dr. Stephen Klasko discusses his keynote at the Smart Health Transformation Preconference Forum at HIMSS26, where he'll outline how healthcare can become truly patient-centered by being "tailored to the individual, and made swift."

Pop-ups in EHR interfaces requiring extra clicks that break focus and complicate workflows may be worsening clinician burnout, according to Dr. Michael Zappa, chief clinical officer at Cape Fear Valley Health and physician advisor at Juno Health.

When a small practice suffers a cyberattack, recovery costs may force closures that leave communities without local care options, according to All Covered's Danielle Morrison.

Abhinav Shashank, Innovaccer CEO and cofounder, highlights the company's recently published manifesto, Autonomous Healthcare, and previews his upcoming HIMSS26 panel with other unicorn founders on tackling challenges in health tech.

Esther Kim, head of emerging technologies at Mass General Brigham, shares how the health system evaluates new technologies and decides which innovations to explore while considering clinical need, operational feasibility and scalability.