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

Kimberly Peven Aidan P Wickham Octavia Wilks Yusuf Cem Kaplan Andrei Marhol Saddif Ahmed Ryan Bamford Adam C Cunningham Carley Prentice Andras Meczner Matthew E Fenech Stephen Henry Gilbert Anna Klepchukova Sonia Ponzo Liudmila Zhaunova

Published in: JMIR mHealth and uHealth (2023)

The single-condition symptom checkers have high levels of agreement with general practitioner classification for endometriosis, uterine fibroids, and PCOS. Given long delays in diagnosis for many reproductive health conditions, which lead to increased medical costs and potential health complications for individuals and health care providers, innovative health apps and symptom checkers hold the potential to improve care pathways.

Keyphrases

healthcare
public health
human health
health information
patient reported
mental health
machine learning
palliative care
deep learning
metabolic syndrome
risk factors
risk assessment
affordable care act
type diabetes
skeletal muscle
insulin resistance
pain management