This article focuses on PubMed’s Best Match sorting algorithm, presenting a simplified explanation of how it operates and highlighting how artificial intelligence affects search results in ways that are not seen by users. We further discuss user search behaviors and the ethical implications of algorithms, specifically for health care practitioners. PubMed recently began using artificial intelligence to improve the sorting of search results using a Best Match option. In 2020, PubMed deployed this algorithm as the default search method, necessitating serious discussion around the ethics of this and similar algorithms, as users do not always know when an algorithm uses artificial intelligence, what artificial intelligence is, and how it may impact their everyday tasks. These implications resonate strongly in health care, in which the speed and relevancy of search results is crucial but does not negate the importance of a lack of bias in how those search results are selected or presented to the user. As a health care provider will not often venture past the first few results in search of a clinical decision, will Best Match help them find the answers they need more quickly? Or will the algorithm bias their results, leading to the potential suppression of more recent or relevant results?

Introduction: Students in Undergraduate Medical Education (UGME/UME) programs face a variety of stressors that can impact well-being. To address this, the Committee on Accreditation of Canadian Medical Schools (CACMS) mandates that medical schools offer support and programming that promotes student well-being. Academic librarians are accustomed to providing outreach that meets their faculties’ needs. Therefore, the goal of this study was to explore if Canadian undergraduate medical education librarians are supporting medical student wellness at their medical schools, and how they are doing so.    Methods: A bilingual, electronic survey containing multiple choice and open-ended questions was distributed across two Canadian health sciences library listservs during the summer of 2020. Librarians supporting UGME/UME programs now or within the last three years were invited to participate.   Results: 22 Responses were received, and 17 complete datasets were included in the final results. The majority of respondents have encountered a medical student in distress (n=10) and have adjusted their teaching style or materials to help reduce stress in medical students (n=9). Other initiatives such as resource purchasing, wellness-themed displays, planning wellness-themed events and spaces, and partnerships on campus in support of medical student wellness were less common.     Discussion: The data in this study provides evidence that Canadian undergraduate medical education librarians are mindful of medical student well-being, and are taking steps to provide relevant support to this learner group. Librarians could adopt similar initiatives at their libraries to show support for learner wellness, and enhance their programs’ accreditation efforts in this area.