Dr. Huanmei Wu is currently the Department Chair of Health Services Administrator and Policy (HSAP) and the As... Read Bio
This project is funded under the Robert Wood Johnson Foundation’s research program, “Health Data for Action (HD4A),” which makes valuable data from unique data owners available to researchers to answer important research questions. The goal of the study is to aid health systems and insurers in providing better chronic disease maintenance care, which can reduce morbidity, mortality, and costs for the US healthcare system. Using Healthcare Exchange (HSX) data, the researchers will determine patient and provider level factors associated with visit adherence and emergency department use, separately, among adults with hypertension, type-2 diabetes, or both diseases. They will also develop predictive models for visit adherence and ED use among adults with hypertension and T2D using machine learning and artificial intelligence approaches. Deliverables will include a project work plan and final narrative. The researchers will also produce paper(s) suitable for publication and present findings at national research meetings and to other stakeholder audiences as appropriate, including policymakers at the federal, state, and local levels and other key stakeholders, as part of the deliverables for this grant.
Grantee Organization: Temple University
Grantee period: 12/1/2021– 11/30/2023