Help admissions assess School of Medicine M.D. applicants

The deadline to volunteer is Monday, September 15

The School of Medicine Admissions Office is looking for volunteers to become raters of M.D. program applicants in the multiple mini interview (MMI).

Volunteers should be physicians (practicing or retired), clinicians, nurses, scientists or others with a connection to health care and a strong interest in contributing to identifying future physicians. Experience in evaluations or testing situations would be ideal, but not essential.

Multiple Mini Interview 2014-2015

Selected volunteers will participate in a 90-minute training session in September at the OHSU/OUS Collaborative Life Sciences Building and then sign up for at least three sessions of rating the medical school applicants.

The MMI sessions with students will take place during the months of October to March. Each session is three hours usually a Wednesday or Friday morning and volunteers would need to be present for the entire session. The scoring is completed during the session and there is no preparation required ahead of time.

For additional information or to volunteer, please contact Lori Servin or call 503 494-5950.

Please help us spread the word to your colleagues and others in the Oregon area!

Better tool for M.D admissions

Three years ago, the OHSU School of Medicine joined a cohort of medical schools using this new tool in the M.D. admissions process.

The Oregonian described the MMI this way: applicants are “rigorously examined for their emotional intelligence: the ability to communicate with real people in real situations and with professional colleagues in complex care-giving scenarios. They’ll be observed by at least seven professionals in at least seven successive and unknowable situations, rated on how well they parse the challenge and then work through it with others in the room.”

The MMI was designed years ago by researchers to replace the inherent bias of traditional one-on-one interviews, employed at many medical schools, in which judging across shared metrics in any consistent manner is difficult.

Learn more about the MMI