Healthcare organizations need a risk-based and patient-centered approach for benchmarking, says Ellipsis Health cofounder and Chief Medical Officer Dr. Michael Aratow, whose company has met with HHS and other agencies on AI safety standards.
Dr. Michael Hasegawa, emergency medicine physician and BodyTime founder and CEO, discusses Bill Gates' predictions on increasingly autonomous AI in healthcare and where to draw the line between AI assistance and replacing human judgment.
Dr. Manijeh Berenji, associate clinical professor at UC Irvine School of Medicine and Wen School of Public Health, explains how health systems can address supply-chain emissions by reconsidering where they source medical supplies and food.
Taipei Medical University Hospital Superintendent Dr Chun-Ming Shih shares their staff AI training strategy.
Dr. Chethan Sarabu, director of clinical innovation for the Health Tech Hub at Cornell Tech, discusses the environmental impact of data centers powering AI and why health systems should consider sustainability as they adopt the technology.
Behind-the-scenes artificial intelligence running unsanctioned or misconfigured third-party apps can introduce data leakage, says Lookout CTO David Richardson. These computers need "to be controlled and protected as any other."
In her new role, Jennifer Goldsack, SVP and head of the AMA's Center for Digital Health and AI, says she is focused on furthering AI development that reflects doctors' ethical commitments and serves broader patient needs.
Standalone AI tools add friction unless they are integrated into electronic records and designed around clinical work, says Health New Zealand clinical IT director Dr Andrew Bowers.
The Taiwanese hospital is developing AI that can coordinate clinical processes and recommend next actions for doctors to approve, shares Deputy Superintendent Dr Wui-Chiang Lee.
The conversation is moving away from documentation burden to administrative burden, says Vikram Khanna, chief revenue officer for Suki.
Dr Teresa Wong, deputy CMIO of Woodlands Hospital, explains why AI integration must support existing workflows, keep clinicians in the loop, and embed clear audit and accountability structures.
Hongxia Huang, VP of iMedway, explains how hospitals can eliminate duplicated work and control operational costs by consolidating AI onto a unified platform with task-matched models.
