Faculty at medical schools are increasingly adopting artificial intelligence (AI) tools to streamline the drafting of letters of recommendation (LORs) for residency applications. This shift is underscored by findings from professionals such as Lisa Daniels Torrisi, MD, who serves as a clerkship director at Emory University School of Medicine. Faced with the challenge of producing numerous letters amid heavy workloads, many are turning to AI to enhance the quality and efficiency of their drafts.
Daniels Torrisi began utilizing Microsoft Copilot based on a suggestion from her husband, which helped her improve the clarity of her writing. Faculty like Michael Kozak, MEd, from the University of Nebraska Medical Center, report that many colleagues express a lack of time to create well-crafted letters. AI is seen as a viable solution, allowing faculty to generate initial drafts or refine existing content without compromising on quality.
However, the integration of AI raises ethical concerns, particularly regarding student data privacy. Dana Dunleavy, PhD, from the AAMC, cautions against the potential misuse of personal information. Faculty members are taking steps to protect student identities when using AI tools, with some institutions exploring options that prioritize data security. Traditionally, many relied on outdated templates, which often resulted in generic recommendations, but AI now offers a more sophisticated and efficient alternative.