Webinar: Working with TAF – Insights on Obtaining and Efficiently Managing your Data
This 60-minute webinar focused on the fundamental steps for getting started with TAF and best practices for efficiently working with the data.
Overview
For researchers focusing on Medicaid data, navigating the new T-MSIS Analytic Files (TAF) is a learning process. While the TAF data represent a significant improvement in quality and usability compared to the retired Medicaid Analytic eXtract (MAX), they remain highly complex, with varying data quality issues across states, eligibility categories, and data elements.
This 60-minute webinar focused on the fundamental steps for getting started with TAF and best practices for efficiently working with the data. Showcasing the expertise of TAF researchers from the Health Care Cost Institute and Oregon Health & Science University, along with ResDAC’s technical experts, the webinar was designed to provide key insights for new, and experienced users of the data.
Watch Recorded Webinar
Learning Objectives
Participants of this webinar:
Learned about key features and components of the T-MSIS Analytic Files (TAF) dataset, gaining an overview of its purpose, contents, and potential applications in healthcare research.
Explored methods and best practices for handling the substantial volume of data present in TAF.
Discovered methods for visualizing TAF data findings, making complex insights accessible to a wider audience.
Through case studies and practical examples, gained insights into the challenges, successes, and lessons learned by experienced researchers who have worked with TAF data.
Director of the Center for Health Systems Effectiveness (CHSE)
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Oregon Health & Science University
John McConnell is the Director of the Center for Health Systems Effectiveness (CHSE) at Oregon Health & Science University (OHSU) and Professor in the Department of Emergency Medicine at OHSU and the OHSU/Portland State University School of Public Health. Read Bio
Analytics Manager, and Biostatistician
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Center for Health Systems Effectiveness (CHSE)
Thomas Meath, MPH, is the Analytics Manager and a Biostatistician at the Center for Health Systems Effectiveness (CHSE) at Oregon Health & Science University (OHSU). Read Bio
Kendra Komoto has been with ResDAC since June 2017. As a ResDAC technical advisor she assists researchers requesting and using Centers for Medicare and Medicaid Services (CMS) Research Identifiable Files. Read Bio
Director of Government Data and Analytics
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Health Care Cost Institute
Daniel is the Director of Government Data and Analytics at the Health Care Cost Institute where he focuses on price and utilization in the Medicare and Medicaid programs; he also manages the organization’s state APCD portfolio. Read Bio
