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This paper is in the following e-collection/theme issue:

mHealth for Screening (313) Mobile Health (mhealth) (3741) mHealth in a Clinical Setting (804) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1850) mHealth for Wellness, Behavior Change and Prevention (3488) Design and Formative Evaluation of Mobile Apps (842) Chatbots and Conversational Agents (808)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46718, first published .
Woman using a period tracking app on her phone, showing Day 3 of her cycle

Assessment of a Digital Symptom Checker Tool's Accuracy in Suggesting Reproductive Health Conditions: Clinical Vignettes Study

Assessment of a Digital Symptom Checker Tool's Accuracy in Suggesting Reproductive Health Conditions: Clinical Vignettes Study

Authors of this article:

Kimberly Peven1 Author Orcid Image ;   Aidan P Wickham1 Author Orcid Image ;   Octavia Wilks1 Author Orcid Image ;   Yusuf C Kaplan1 Author Orcid Image ;   Andrei Marhol1 Author Orcid Image ;   Saddif Ahmed1 Author Orcid Image ;   Ryan Bamford1 Author Orcid Image ;   Adam C Cunningham1 Author Orcid Image ;   Carley Prentice1 Author Orcid Image ;   András Meczner2 Author Orcid Image ;   Matthew Fenech3 Author Orcid Image ;   Stephen Gilbert4 Author Orcid Image ;   Anna Klepchukova1 Author Orcid Image ;   Sonia Ponzo1 Author Orcid Image ;   Liudmila Zhaunova1 Author Orcid Image
Article Authors Cited by (6) Tweetations (2) Metrics

Journals

  1. Graca S, Alloh F, Lagojda L, Dallaway A, Kyrou I, Randeva H, Kite C. Polycystic Ovary Syndrome and the Internet of Things: A Scoping Review. Healthcare 2024;12(16):1671 View
  2. Widmer A. Digitale Gesundheits-Apps. Die Innere Medizin 2024;65(12):1261 View
  3. Wickham A, Hewings-Martin Y, Goddard F, Rodgers A, Cunningham A, Prentice C, Wilks O, Kaplan Y, Marhol A, Meczner A, Stsefanovich H, Klepchukova A, Zhaunova L. Exploring Self-Reported Symptoms for Developing and Evaluating Digital Symptom Checkers for Polycystic Ovarian Syndrome, Endometriosis, and Uterine Fibroids: Exploratory Survey Study. JMIR Formative Research 2024;8:e65469 View
  4. Wright P, Burts C, Harmon C, Corbett C. Availability and Use of Digital Technology Among Women With Polycystic Ovary Syndrome: Scoping Review. JMIR Infodemiology 2025;5:e68469 View
  5. Xu Y, Prentice C, Torres-Rueda S, Meczner A, Multmeier J, Wickham A, Kelly L, Klepchukova A, Stsefanovich H, Zhaunova L. Economic evaluation of a digital symptom checker for endometriosis using a Markov decision process model. npj Digital Medicine 2026;9(1) View

Conference Proceedings

  1. Doughty F, Sillence E, Harrison D, Smith M. Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems. "It is not our job to educate you": Exploring Perceptions of AI-Integrated Menstrual Tracking Apps Through Speculative Reflection View