Analytic Tools

The TAF Analysis Reporting Checklist is designed to guide reporting of research using the TAF Medicaid claims data. It serves to promote transparency and reproducibility in TAF-based studies.

In an article in JAMA Health Forum, Medicaid Data Learning Network (MDLN) authors discuss the impetus for creating the T-MSIS Analytic Files (TAF) Analysis Reporting Checklist and the methodology used to do so.

As the intersection of health care and technology continues to expand, the role of health information technologies (HIT) is ever more critical. The Health Information Technology Interest Group spoke on a panel on the intersection between HIT and innovation and offer practical challenges of implementing cutting-edge solutions in real-world health care settings.

President and CEO Aaron Carroll discussed his vision for health services research at the June 2024 National Advisory Council Meeting (NAC) for the Agency for Healthcare Research and Quality (AHRQ). This second post in the series focuses on his priorities in creating more flexible funding mechanisms, artificial intelligence, and advanced data computing in digital health care research.

Outlining actionable strategies and helpful resources, this Guide can be used independently or in tandem with the Interactive Tool to Reduce Racial Bias in Big Data Studies to help users mitigate the risk of perpetuating racial bias through their research.

A new Health Affairs blog highlights AcademyHealth’s Evidence-Informed State Health Policy Institute’s engagement with state-university partnerships comprised of Medicaid policymakers and researchers to develop a post-COVID Medicaid research agenda and toolkit to help measure the impact of Post-COVID Condition (PCC) on Medicaid-enrolled populations.

The sixth post in AcademyHealth’s Medicaid Health Equity series summarizes five recommendations for researchers to measure and interpret racial disparities in health care more accurately.