Speakers

Jason Jones, PhD

Chief Analytics and Data Science Officer, Health Catalyst

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.

Speaker Sessions

3. Two-Headed AI: How AI Helps Both Analysts and Decision Makers

Level:
Track:

When was the last time your organization made a preventable error when interpreting data? What if you could rely on correct, consistent, and clear insight? Six months after the official introduction, Healthcare.AI has seen the fastest uptake of any product launched by Health Catalyst. The HAS User Group drove its development over the last couple of years. Come see how Healthcare.AI is augmenting decision makers and analysts and driving our roadmap – and help us plot the next 12 months.

3. Two-Headed AI: How AI Helps Both Analysts and Decision Makers

Level:
Track:

When was the last time your organization made a preventable error when interpreting data? What if you could rely on correct, consistent, and clear insight? Six months after the official introduction, Healthcare.AI has seen the fastest uptake of any product launched by Health Catalyst. The HAS User Group drove its development over the last couple of years. Come see how Healthcare.AI is augmenting decision makers and analysts and driving our roadmap – and help us plot the next 12 months.

3. Two-Headed AI: How AI Helps Both Analysts and Decision Makers

Level:
Track:

When was the last time your organization made a preventable error when interpreting data? What if you could rely on correct, consistent, and clear insight? Six months after the official introduction, Healthcare.AI has seen the fastest uptake of any product launched by Health Catalyst. The HAS User Group drove its development over the last couple of years. Come see how Healthcare.AI is augmenting decision makers and analysts and driving our roadmap – and help us plot the next 12 months.

17. Health Equity Analytics Outlook – The Journey to Health Equity: How AI-Driven Care Can Help Drive Disparity Out of Care

Level: General Audience
Track: Industry Outlook Speaker
Join Trudy Sullivan as she will facilitate a panel discussion with four leaders who are starting down the journey of using data to identify and address health equity disparities. The panel members include:
  • Dr. Anthony Sanders, Physician – OBGYN, Community Health Network
  • Teresita Oaks, MPH – Director, Community Health Programs, Parkland
  • Alexandra Wroe, Director, Care Coordination, UM & CDI, Queens Medical Center
  • Jason Jones, Chief Analytics and Data Science Officer, Health Catalyst

3. The Future Is Here. Are You Participating?

Level: General Audience
Track: Industry Outlook Speaker

For the last significant leadership decision you participated in, did you use any statistical, AI, or machine learning techniques? Augmented AI analytics are coming in healthcare, they are critical, and they are achievable. Augmented AI analytics are like an X-ray you can apply to your existing analytics to gain much better and deeper insight.

Jason will conduct a live demo where the audience can participate live and personally interpret data as shown in traditional BI tools. And then see a demo of the same data with augmented AI analytics applied visually to the same data set. The audience will determine for themselves whether their original interpretations were correct or incorrect. And then imagine applying this to any recent decision made based on typical BI-driven data analytics.

Gartner has said that analytics and BI platforms are no longer differentiated by their data visualization capabilities but by how well platforms support augmented analytics. Augmented AI analytics are coming and are achievable. How prepared are you for this shift?

Watch HAS 21 Virtual On-Demand.

Replay HAS 21 Virtual

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