Open Source Code for the T-MSIS Analytic Files (TAF)
The Medicaid Data Learning Network (MDLN) released a report on its open source efforts for researchers using T-MSIS Analytic Files (TAF) data.
Convenings, publications, and collaboration: ESHPI’s 2023 At-a-Glance shares a peek into our biggest accomplishments of the last year
In this special edition newsletter, the Evidence-Informed State Health Policy Institute (ESHPI) proudly highlights projects, partnerships, and publications from 2023 and previews the Institute’s upcoming projects for 2024.
Introducing a Framework to Understand Economic Impacts on Patients and Caregivers
Working in close partnership with patients, caregivers, researchers, and practitioners, Innovation and Value Initiative and AcademyHealth developed a new framework to recognize the broad health care economic impacts on patients and caregivers and aid researchers in addressing health disparities and creating value for patients and systems.
CareSet Offers Medicare Referral Data for ARM Researchers
AcademyHealth Organizational Member CareSet is offering DocGraph data to ARM 2023 attendees until September 15th!
AcademyHealth Announces Winner and Honorable Mention in the 2023 Health Equity DataJam
The winner and honorable mention of AcademyHealth’s 2023 Health Equity DataJam leveraged publicly available datasets to answer pressing questions related to health and health care disparities.
Addressing Maternal Mortality Through Improved Data Collection and Access
Strengthening data collection and ensuring researchers and governments have access to high-quality data can help us unravel the complex processes that lead to maternal mortality.
AcademyHealth’s Medicaid Data Learning Network (MDLN) Research Faculty Explore Promises and Challenges of Medicaid Research Using T-MSIS Analytic Files (TAF) in New Blog from The Commonwealth Fund
The lack of high quality, accessible national claims data has long been a roadblock to robust Medicaid research and subsequent evidence-based policymaking in the United States. While the release of TAF marked a significant improvement, research faculty with AcademyHealth’s Medicaid Data Learning Network (MDLN) outline important steps that state and federal policy makers can take to improve data quality, accessibility, and usability.
What Students for Fair Admissions v Harvard Has to Say About Disparities Research
The Supreme Court’s affirmative action decision has much to say about the integrity of federal race/ethnicity data and the future of relying on such data in disparities research and, ultimately, civil rights enforcement.
Using Data, Community Engagement, and Policy to Improve Federal Mental Health and Suicide Prevention Outcomes
AcademyHealth organizational member Aptive Resources partnered with the Department of Veterans Affairs to better address Veteran suicide through improved data collection, working with subject matter experts, and identifying policy gaps.
Is the health equity movement having an impact on the Biden-Harris Administration’s approach to health data?
Top health data experts held an exclusive conversation with AcademyHealth's organizational members on the status, challenges, and opportunities for stakeholder engagement with the Biden-Harris Administration’s attempt to make health data more equitable.