Organizational Governance
AION Labs CEO, Mati Gill, discusses the company’s extensive backing from pharma and tech giants to build AI startups, and how AION is looking beyond AI to explore quantum technologies for research and development in drug discovery.
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.
Clinician innovators across the region see the next phase of healthcare AI focusing on trust and responsible adoption after a year of rapid experimentation.
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.
Sallie Gustafson, Murj's director of medical affairs, says Emory used smart remote monitoring technology that integrates with EHR systems to increase billable remote cardiac services by 52% despite minimal patient growth.
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.
According to Kevin Ritter of Altera Digital Health, health systems must go beyond simple information exchange to ensure their data is discrete, normalized and able to flow between multiple applications across the enterprise.
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.