FY22 - Using Data Science Tools to Analyze Medicaid Claims Data C2579

As part of an educational focus of the American Heart Association (AHA) Institute for Cardiovascular Precision Medicine, Dr. Thompson will develop a training opportunity for statistics graduate students to develop and hone their coding and data analysis skills on cloud computing platforms. As part of the AHA Data Science training, this proposal will address questions from the Department of Medicaid Services by requiring trainees to implement their data science skills in Medicaid claims data by performing analyses and producing deliverables for their project (both written reports and oral presentations). After completing the training program in the first part of the summer, pairs of trainees (graduate students) would each complete one of the five specified tasks in a capstone project for the summer. Each project would consist of an initial consultation with Drs. Thompson and Stromberg, along with collaborators from the Cabinet for Health and Family Services (CHFS), data analysis on computing platforms, follow up consultations with senior personnel, and finished with deliverables showing project results. Formats of results will vary across projects, but all will provide information about actionable items or information to inform future policy changes in Medicaid to improve access and quality of care. Deliverables will include both a written white paper and an oral presentation of the project and results. Students will be encouraged, but not required, to submit manuscripts to peer-reviewed journals upon approval by CHFS. All presentations will occur in the same meeting, and CHFS collaborators will be invited to attend. Together, the results from these five projects will produce information and actionable factors to inform future policies in the Department of Medicaid Services.