The HMS Multicampus Geriatric Medicine Fellowship Program offers opportunities for interested, qualified fellows to stay for an additional one to two years to prepare for an academic career as a leader in Geriatrics. The Advanced Fellowship Training Program offers development in Medical Education, Research, Health Care Policy, and Quality Improvement. Once accepted, advanced fellows develop an individualized training plan with a mentor. Applicants apply to the Advanced Fellowship Training Program during the fall of the first year of fellowship.
Fellows pursuing advanced training as clinician educators have the opportunity to develop skills in medical education through participating in coursework such as the Beth Israel Deaconess Fellows Clinician Educator Track or the Harvard Macy Educators program (by application). Fellows develop an educational project with mentorship, and hone their teaching and curriculum development skills. Recent projects include curriculum development and assessment for the Harvard Medical School Aging and End of Life Theme, as well as peer-to-peer and interprofessional teaching and learning opportunities.
Fellows acquire a firm knowledge base in theoretical and practical aspects of aging research. By participating in formal coursework and carrying out a scholarly project, trainees will be prepared to critically evaluate the research of others and to participate in the design and conduct of their own projects. Potential research mentors include investigators at the Hinda and Arthur Marcus Institute for Aging research, as well as the New England GRECC at VA Boston and Bedford, and others.
Health Care Policy
Fellows have the opportunity to work in the area of health care policy with mentors from our Accountable Care Organization, Hebrew SeniorLife/Brandeis Heller Center to Inform Policy and Practice, and other programs at Harvard Medical School. Current projects focus on improving care in nursing homes through video consultation, reducing unnecessary hospital admissions, and developing new financial models for geriatrics.