Taylor Larsen is the Director of Data Quality for the Application Suite Business Unit at Health Catalyst, where he is building solutions that leverage data science, cross-client comparisons, and embedded subject matter expertise to assess, demonstrate, improve, and monitor healthcare data quality to facilitate better data-informed decision making. Taylor is leading a vision for data quality at Health Catalyst that systematizes a shift from structural and content focused data quality to data quality defined by measurable utility and insists data quality improvement is prioritized within the context of outcomes improvement governance. Taylor earned his master’s degree in economics from the University of Colorado and his professional experience includes time with Health Catalyst’s Data Science team and at Colorado Medicaid, which provides a unique perspective to draw from in his data quality work
(Analytics Best Practices, Innovative Data and Analytics Transformation — Course Level: Intermediate)
COVID-19 response and recovery efforts provided urgent analytic use-cases, each one highlighting data quality as a prerequisite. Discover five essential data quality lessons that COVID-19 helped shine a light on, and how heath organizations can apply these lessons to be prepared for the future.
In this session, you will learn:
- Why assessing data quality at the end of the data pipeline is not good enough.
- How firefighting data quality issues falls on the backs of analysts in the absence of a systematic approach to data quality assessments.
- Why going beyond simple verification of data quality may require looking outside the four walls of a single organization, and more.