Skip to main content

You are here

Data Analytics: Enabling Decision Making and Innovation

Data Analytics: Enabling Decision Making and Innovation

Tuesday, October 22, 2019 - 10:30am to 11:30am
Themes Theatre
Health Innovation

Healthcare professionals struggle to manage an ever increasing volume of disparate health data from multiple sources to making timelier and better quality decisions to improve patient care and outcomes. This same challenge applies to using data to enable innovation in health care research and delivery. Information, as the old adage goes, is only as good as the data entered into the system or the accuracy and consistency of the data that is collected and merged from a number of systems. The use of predictive and prescriptive analytic technologies provide the means to advance the practical use of this growing mountain of data. This presentation will discuss how the use of analytics can leverage data to improve operations and how good quality data can and will lead to improving patient care and outcomes. The discussion will also include several case studies where data was used to drive decisions once data quality was managed.

Learning Objectives:

  • Understand the benefits/steps of data quality and data prep for better data analytics
  • Understand the value of applying analytic techniques to conquering the data challenge
  • Identify the types of analytic techniques in use
  • Ability to apply lessons learned from case studies to implement analytic based initiatives

Walter Harris, MBA, PMP – Senior Vice President for Administration & Finance, Kaiser Permanente School of Medicine

Carlos Rivero – Chief Data Officer, Commonwealth of Virginia

Vinai Trichur – Managing Partner, Censeo Consulting Group

Rajiv Uppal – Director, Office of Information Technology, Chief Information Officer, Centers for Medicare & Medicaid Services

Michael McFarland – Acting Associate Deputy Assistant Secretary, Office of Acquisitions Health and Human Services