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Pathology goes viral: a qualitative review of #pathology content on TikTok.

Created on 06 Aug 2026

Authors

Riley Jepkema, Meredith Herman, Sanjay Gadasalli, Sean Hacking, Julia Kochanowski, Casey Schukow, Kamran Mirza

Published in

American journal of clinical pathology. Volume 166. Issue 2. Aug 04, 2026.

Abstract

The use of #pathology and #pathologist is increasing on TikTok, a short-form video platform with over 1 billion users. As of July 2024, #pathology had over 21 000 posts and 468 million views, while #pathologist had over 3000 posts. It could be a useful tool for education and recruitment if the content is accurate and engaging.
To assess the accuracy, engagement, and educational value of this growing content, we conducted a cross-sectional study analyzing 105 English-language TikTok videos identified using these keywords over a 72-hour period. Videos were evaluated using the Patient Education Assessment Tool for audiovisual material (PEMAT-AV) for audiovisual quality, the Global Quality Scale (GQS) for overall content quality, and a modified JAMA benchmark score for information accountability. Additionally, a harm-benefit score categorized educational impact.
Statistical analysis revealed that educational content demonstrated significantly higher quality scores on GQS (P = .0001) and PEMAT-AV (P = .0007) than other content types. In contrast, medical profile type was associated with higher PEMAT-AV (P = .0147), JAMA (P = .0332), and harm-benefit (P = .0004) scores.
While the volume of pathology-specific content is currently limited, the high average engagement metrics-298 100 followers, 1.5 million views, and 67 884 likes per video-indicate substantial user interest. The higher-quality scores for educational and medical content suggest that pathology content creators are generally knowledgeable and accurately represent the field on TikTok, highlighting TikTok's potential as a valuable platform for disseminating reliable pathology-related information.

PMID:
42560369
Bibliographic data and abstract were imported from PubMed on 06 Aug 2026.

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