Objective The objective of this study was to review and analyze the current social media status of urogynecology/female pelvic medicine and reconstructive surgery on Twitter and create a tag ontology. Methods A “tag ontology” is a standardized list of hashtags used to organize specific subject matter within a social media platform. We used an online social media analytics tool, Symplur to identify tweets and hashtags related to #urogynecology between January 2018 and July 2020. Hashtags identified using Symplur were verified manually via Twitter inquiries and reviewed by urogynecology social medial influencers for external validation. The hashtags were selected based on frequency of use, social media influencer opinion, and clinical relevance. Results We identified 6,847 tweets and 2,946 users. Our ontology includes 67 terms categorized into 5 groups (urinary, prolapse, anus/rectum, vulva, and other). Using “Symplur Rank,” the 2 top influencers included @FPMRS and @FPMRSJournal. Conclusions Adaptation of a standardized hashtag ontology facilitates communication between providers and patients about pertinent health care issues. Our study has created a urogynecology-specific ontology based on 2018–2020 Twitter usage.

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The creation of an ontology may enable providers to more definitively engage the public in evidencebased and meaningful discussions about women's health. The goal of this study is to review and analyze the current social media status of minimally invasive gynecologic surgery (MIGS) on Twitter and create a tag ontology. Design: Tag ontologies are lists of hashtags used to standardize searches within a social media platform. We examined trending terms and influencers on Twitter on the basis of the keyword "MIGS." We then compiled a list of top hashtags on the basis of the number of tweets from January 2018 to August 2020. Terms were identified with manual Twitter queries and Symplur Signals and selected for inclusion in the ontology on the basis of frequency of use and clinical relevance. The ontology was then categorized by pelvic disease and intervention and reviewed/supplemented by key social media influencers for inclusivity. Setting: N/A Patients: N/A Interventions: N/A Measurements and Main Results: We identified 4550 tweets and 1836 users while searching #MIGS in August 2020. Twenty-nine terms were included in our ontology, which were then subcategorized into 6 groups (uterine pathology, adnexal pathology, menstruation, pelvic pathology, pelvic pain, and other). Conclusion:Our study has created an ontology specific to the MIGS on the basis of Twitter usage over the last 2 years that may facilitate more effective social media communication.