Health Catalyst Upcoming Webinar
register arrow

Register Now

Getting to the Wrong Answer Faster with Your Analytics: Shifting to a Better Use of AI in Healthcare


Wrong conclusions in your analytics can cause waste and disillusionment, not to mention suboptimal outcomes that may take months or even years to recover from. But analytic analysis isn’t about perfection—it’s about getting to the right answer by quickly getting to the wrong one.

Wednesday, August 14
1:00-2:00 PM ET

In this interactive webinar, Jason Jones, chief data scientist at Health Catalyst, will walk through scenarios that illustrate how commonly used analytic methods can lead analysts and leaders to the wrong conclusions, and share how to course correct if this happens to you. In health and healthcare, leaders drive change by understanding and supporting better approaches, and analytics provide the best foundation for informed change management. Let’s work together to shift towards a better use of AI in healthcare.

Join this webinar to learn:

  • How analysis of the same data set can result in different conclusions.
  • Tools and techniques to get your organization back on track after a misstep.
  • Lessons from two case studies that will help you drive better analytics in your own organization.

We look forward to seeing you at the webinar.

Jason Jones
Jason Jones, PhD - Chief Data Scientist, Health Catalyst

Jason Jones currently serves as Chief Data Scientist at Health Catalyst. Previously, he served at Kaiser Permanente (KP) in various roles including Research Scientist and VP, Information Support for Care Transformation. Prior to KP, Jason was a Medical Informaticist for Intermountain Healthcare. Other roles have included analytic and marketing leadership positions at Bayer HealthCare, data and information product development at UnitedHealth Group, and various academic adjunct faculty positions. Jason received his PhD in Biostatistics from the University of Southern California in 2001. His mission is to leverage data to achieve the Quadruple Aim.

Jason believes that better use of data is critical to achieving the Quadruple Aim. For people, it means having access to options and guidance to achieve our goals in the context of our preferences and circumstances. For providers, it means feeling supported in applying expertise and caring to achieve and sustain health. For organizations, it means achieving better focus and resource application for sustainable improvement. Providing the right information, to the right person, and at the right time augments intelligence and increases team success.