Jason Jones is passionate about achieving the Quadruple Aim through better and easier use of data in healthcare, including helping organizations to find analytic focus; helping providers feel that the systems they work for have their backs; and helping people to understand and have their goals and preferences respected for the hopefully brief periods during which they are “patients.”Previously, Jones served as Vice President, Information Support for Care Transformation, at Kaiser Permanente (KP). In that capacity, he brought together and co-led the national Hospital and Healthplan Quality and Finance analytic functions and led development of national quality strategy and care delivery IT investments. Prior to that, he was KP’s Executive Director of Clinical Intelligence and Decision Support and a Research Scientist in KP’s Southern California region.Before joining KP, Jones was a Senior Medical Informaticist for Intermountain Healthcare. He also held analytic and marketing positions at Bayer Healthcare in Wayne, N.J., and Ingenix (now Optum) Pharmaceutical Information Products in Salt Lake City, where he developed a model for converting United Healthcare data into a saleable asset for external customers conducting outcomes research.Throughout his career, Jones has taught graduate courses in statistics to medical informaticists at the University of Southern California and at the University of Utah. He has published dozens of peer-reviewed papers in medicine, predictive modeling, and outcomes improvement.
A new frontier is expanding AI from artificial intelligence to augmented intelligence. Traditional AI has focus on improving analytics efficiency and effectiveness. Augmented Intelligence is about improving the decision-making ability of healthcare leaders. Our goal is to support leaders in driving systemwide outcomes improvement—do we have more opportunity in readmission or depression, how should we staff the ED on weekends, how long does a nurse manager need to improve safety culture, and so on. There is an opportunity to include AI to assist decision making in new and innovative ways. In this session, you will see specific frameworks and tools to use AI to close the information gap for leaders to drive outcomes improvement.
Wrong conclusions in your analytics can cause waste and disillusionment, not to mention suboptimal outcomes. It can take months or even years to recover. In this interactive session, you’ll walk through scenarios that illustrate how commonly used analytic methods can often lead analysts and leaders to unknowingly draw the wrong conclusions. You’ll be introduced to important strategies and tools to get you back on track. In health and healthcare, change depends on leaders understanding and supporting better approaches.