clinical AI
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.
The financial health of hospitals and the financial experience of patients are concepts that are tethered together, says Andrew Bess, EVP at Ensemble.
Arintra CEO Nitesh Shroff says the company's AI-powered platform turns complex clinical documentation into explainable, compliant codes that help reduce claim denials and support improving health systems' bottom lines.
Sandra Johnson, CliniComp senior vice president, says keeping data in a single longitudinal system makes it easier to prove AI's positive impact on metrics such as shorter stays, fewer readmissions and higher patient satisfaction.
The goal is to make artificial intelligence available to the federal workforce and to integrate it across internal operations, research and public health.