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The new research aims to explore models' diagnostic and management reasoning skills – and what that could mean for clinicians and patients, says Dr. Ethan Goh, executive director of Stanford ARISE, the AI Research and Science Evaluation Network.
Artificial intelligence-driven cost estimation tools and telehealth are addressing patient care gaps and improving care access while lowering total costs for employee groups, says Robin Glass, president of Included Health.
Dr Chia-Te Liao, director of the Center for Evidence-based Medicine & Health Policy at Chi Mei Medical Center in Taiwan, shares how the hospital promoted generative AI adoption.
AI is more readily adopted in other industries, and there are "thousands of reasons for that," says HIMSS Chief Scientific Research Officer Anne Snowdon. The biggest is that in healthcare lives are at stake. "We don't ever take that for granted."
Agentic AI learns and can evaluate claims to make faster decisions to drive improved reimbursement, says John Yount, Chief Innovation Officer at FinThrive.
Yesha Patel, data scientist at Keck Medicine of USC says some applications come out of the box "ready to go." Others require a more customized approach – but that requires a lot of in-house expertise, like data scientists and AI architects.
Zoom Communications' Jim Martin says the company's AI-first platform can streamline clinical and call center workflows, including generating visit notes to free clinicians' time so they can focus on patient interactions.
Stephen Ferrara, associate dean of AI at Columbia University and past president of the American Association of Nurse Practitioners, says educating nurses on "what AI can do, and what it can't" will be essential to getting buy-in.
As the artificial intelligence market and tech explode around providers, healthcare AI strategy at hospitals and health systems is a major challenge. Dr. Hojjat Salmasian, CDAO and leader of AI at Children's Hospital of Philadelphia, offers advice.
According to Lenovo's Dr. Justin Collier, involving clinicians in the decision-making process and starting with small, high-impact projects such as ambient listening and documentation can help health systems succeed with AI.
AI is a "shiny object" right now, but finding success depends on getting the scut work of data management right, says Dr. Deepti Pandita, CMIO & VP of Clinical Informatics at University of California Irvine Health.
Carolyn Magill, venture partner at Define Ventures, discusses the venture capital firm’s recent survey outlining how 15 of the top 20 pharmaceutical companies are embracing AI and where the ever-changing technology is being implemented.