Abstract

This paper presents CareBridge Health, an AI-powered mobile application designed to improve women's healthcare access through symptom analysis and educational support [1]. The app integrates an intuitive body mapping interface, GPT-4-based AI analysis architecture, and a curated educational database [2]. It addresses gaps in symptom recognition and health literacy among women. Two experiments with ten participants evaluated the app’s effectiveness. The usability experiment resulted in an average rating of 4.6 out of 5 for ease of use, while the health education experiment achieved an average score of 2.7 out of 3 in a knowledge test. These results demonstrate the app's success in providing an intuitive and educational experience. The project builds upon previous mobile health and AI diagnostic research but uniquely targets women’s health with a holistic, personalized approach. Limitations include reliance on internal logic instead of a live AI backend and the need for broader clinical content. Overall, CareBridge Health represents a promising innovation in women’s health technology by empowering users with actionable insights and accessible education.

Keywords

Women's Health Technology, Mobile Health (mHealth), AI Symptom Analysis, Health Literacy, Patient Education