39th Annual NAPIPM Educational Conference
August 5 - 8, 2019
Sheraton Memphis Downtown | Memphis, TN
Data Quality - Looking Under the Hood of Data-Driven Decision-Making
Wednesday, August 7th, 2019
3:30 PM - 5:00 PM: Breakout
Health and human services agencies face significant pressures and must cope with constrained resources to fulfill their mission of promoting wellness, self-sufficiency, and a better quality of life for individuals and families. High quality data are essential to help agencies make informed program decisions and deliver appropriate services. However, agencies do not always have the capacity or resources to focus on data quality planning, assessment, or improvement.
In this session we will illustrate quality data as the foundation of data-driven decision making. We will take a multi-program view and present definitions of data quality and characteristics of high-quality data, as well as explore common issues associated with data quality. The panel will also offer approaches to assess the quality of data and implement improvements. Public sector representatives from TANF, Medicaid and child welfare programs will present their experiences from "under the hood" of assessing data quality, addressing data quality issues, and implementing improvements to facilitate and support a culture of data-driven decision-making. The panel facilitator will encourage questions from the audience throughout the session.
Jonathan Ladinsky, Senior Researcher for Program Improvement, Mathematica Policy Research
Cara Weiss, Senior Data Analytics Lead, Mathematica Policy Research
TANF program, Employment Security Division, Department of Human Services, District of Columbia (invited)
Medicaid program, Department of Health, Maryland (invited)
Child Welfare program, TBD.