Episode 25: How Cognitive Computing Can Break Down Silos Between Healthcare Providers and Payers
In this episode, host Dr. Bob Kaiser, director of the master’s degree program in healthcare leadership and management for professionals at the Naveen Jindal School of Management chats with Joan Butters, co-founder and CEO of Xsolis, a healthcare technology firm based in Nashville, Tenn.
Inefficiencies in information sharing between healthcare providers and payers are one of the major problems driving high costs in the industry. Butters and Kaiser discuss the roles that high-tech tools such as cognitive computing, artificial intelligence and data analytics can play in breaking down those silos.
In this episode, Dr. John R. Mehall returns to the show for a discussion with host Dan Karnuta about the evolving economics of physician practice and how different organizational models — hospital employment, independent groups and private equity partnerships — shape autonomy, productivity and long-term sustainability.
Host Dan Karnuta welcomes Don Taylor, director of the Alliance for Physician Leadership at The University of Texas at Dallas’ Naveen Jindal School of Management, for a discussion about Taylor’s new book, Healing. They discuss how the U.S. healthcare system fails to support physicians’ well-being, both mentally and spiritually. Taylor describes how doctors struggle with the stress, isolation and burnout of leadership expectations although they do not get trained in that aspect of their careers.
In this episode, host Dan Karnuta speaks with Dr. Terry McDonnell, chief nursing officer at Duke University Health System. They focus on how technology is reshaping the nursing profession.
This episode explores how artificial intelligence is transforming healthcare, emphasizing that success depends more on people and processes than on the technology itself. Host Dan Karnuta and guest Dr. Matt Brubaker, chairman and CEO of healthcare consulting firm FMG Leading, discusses implementation challenges, fear of change and the importance of aligning AI adoption with organizational strategy, leadership and mission.
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