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Twenty-Four Years' Experience With a Pulmonary Pathology Journal Club: What Have We Learned?
Henry D Tazelaar1, Marie-Christine Aubry2, Anja C Roden2
1From the Department of Laboratory Medicine and Pathology , Mayo Clinic, Scottsdale, Arizona(Tazelaar).
Archives of Pathology & Laboratory Medicine
|February 13, 2025
Summary
A long-standing pathology journal club successfully keeps members updated on diagnostic pulmonary pathology literature. Opportunities for improvement include using generative artificial intelligence (AI) for article summarization.
Area of Science:
- Pathology
- Medical Education
Background:
- A monthly pathology journal club has convened for 24 years.
- The club's primary objective is to keep members informed about diagnostic pulmonary pathology literature.
Purpose of the Study:
- To evaluate the journal club's effectiveness in achieving its goal.
- To identify areas for enhancement, including the potential use of artificial intelligence.
Main Methods:
- Compared Scopus citation indices for discussed versus noted articles (January 2007–November 2023).
- Conducted a faculty survey to assess satisfaction and gather improvement suggestions.
- Explored the use of generative artificial intelligence (AI) for article summarization.
Main Results:
- Discussed articles had significantly higher citation counts (mean 103.0) than noted articles (mean 64.9).
- Faculty expressed general satisfaction, valuing article summaries and live discussions.
- Identified opportunities: reduce journals, simplify summaries, and integrate AI for summarization.
Conclusions:
- The journal club effectively meets its objective of literature dissemination.
- Generative artificial intelligence (AI) presents a promising opportunity to streamline article summarization and enhance analysis.
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