Director: Anthony J. Lisi, DC
Funding: NCMIC Foundation
Stipend: Calculated from NIH norms based on PGY
The IMPAACT fellowship provides advanced training in healthcare policy, administration and informatics related to the management of musculoskeletal pain disorders. The program aims to attract individuals of exceptional management potential and develop them into leaders in the analysis and administration of healthcare system programs related to musculoskeletal pain disorders with a focus on innovative nonpharmacological approaches. The goal of the fellowship is to prepare graduates for future careers in healthcare policy and/or administration.
The fellowship is a partnership between the Section of Biomedical Informatics and Data Science and the VA Connecticut Healthcare System. The program provides 2-years of post-residency/postdoctoral research and educational learning opportunities devoted to electronic health records, clinical decision support, databases and data analysis, and quality and safety. Experiential learning will be combined with didactic classes and conferences.
- Fellows work with the Program Director and Core Faculty in support of data-driven healthcare policy development and administration activities at VA Connecticut, VA National Office of Rehabilitation and Prosthetic Services, and Yale Center for Medical Informatics
- Fellows will be concurrently enrolled in the Master of Public Health degree program at the Yale School of Public Health
- Fellows work on one or more independent research projects under faculty supervision.
- Fellows with clinical training and credentials may spend up to 15% of their time in clinical activities
This program is made possible by a generous grant from the NCMIC Foundation.
Eligibility & Application
Applicants must have a doctoral degree in the clinical or biological sciences with a focus on nonpharmacological approaches to rehabilitation medicine. Applicants must be US citizens or permanent residents. Applications from women and minorities are encouraged. Each cycle may have a different programmatic focus, but in general applicants should have advanced education and/or experience in one or more of the following: computer programming, data analytics, health policy and/or healthcare administration.
Training Period: August 1, 2023 to July 31, 2025
Application Deadline: December 31, 2022
Application: Email CV and letter of interest to firstname.lastname@example.org