Exploring ChatGPT’s Potential in Systematic Review Search Strategies
2026-06-04 , Room #2
Language: English

Introduction The adoption of generative AI (genAI) tools like ChatGPT present opportunities for enhancing efficiency through automation. While the use of genAI is increasingly commonplace in academia and research, the capabilities and limitations of such tools to support systematic review (SR) searches has yet to be explored. Methods We recruited Canadian health librarians to participate in a two-stage crossover study followed by individual interviews to elicit librarian perceptions of using ChatGPT for SR searching. Each librarian developed two OVID Medline searches, one using ChatGPT and one without. The participant literature search strategies were compared to Cochrane reviews on the same topic. Interview transcripts were coded for themes using qualitative content analysis by three independent coders. Results Ten health librarians participated and data analysis is underway. Discussion This study will provide practical examples of how health librarians may use ChatGPT to expedite their search development process. It will also produce key limitations of ChatGPT use in its current form.

Amy Kamel (MLIS) is an Intern Librarian, researching library space use at the Edmonton Public Library. She was previously a Student Information Services Assistant and Archives Assistant at the University of Alberta Library. Amy was also a Student Representative in the Library & Information Studies Students’ Association. Her professional interests include digital literacy, emerging technologies, and staff development.