clinical AI

Eric Jimenez, Artesia General Hospital CIO, says the hospital first deployed AI to protect its network after a cyber incident. It expanded to ambient listening and is now seeking to use AI for clinical applications.

Michael Abrams of Numerof and Associates says that oversight for AI used in mental health care should mirror that of pharmaceuticals, with clear standards, safety testing and ongoing monitoring.

By searching and cross-referencing all electronic health record data, large language models are helping to provide leading-edge oncology care to more patients while freeing up nurses' time, says Dr. Aaron Gerds at the Cleveland Clinic’s Cancer Institute.

Janus Health's Carol Howard says the WISeR model's AI-driven reviews of specific Medicare services may trigger denials. To avoid this, hospitals must align clinical documentation with local and national coverage determination rules.

While HIMSS Media editors anticipate that AI will be used in every layer of healthcare's tech stack in 2026, they stress that governance and human oversight are essential to ensure AI works safely at scale.

Pharma faces regulations and stringent rules for transparency, but the payoff is drugs that can get to market faster and possibly at less expense.

Todd Van Meter, Accuity CEO, talks about how the company helps providers reduce clinical denials by pairing physician-led review with AI that parses medical records to ensure error-free coding and documentation.

HIMSS Media editors discuss 2025 healthcare trends, including a shift toward mature AI use cases, scrutiny about ROI and regulation gaps as executives wrestle with choosing vendor partners and implementing AI tools.

Doug Meil, author of The Rise and Fall of Explorys and IBM Watson Health: A Personal Memoir of a Healthcare Moonshot that Misfired, discusses some lessons learned from that era, and offers perspective on where artificial intelligence may be headed next.

Atropos Health CEO, Brigham Hyde, discusses the integration of Atropos' agentic AI agent into Microsoft Teams, helping clinical teams analyze patient information and clinical documentation during team meetings to support decision making.