AdvocateAI: A Human-in-the-Loop Artificial Intelligence Platform to Improve Diagnostic Trajectories and Patient Empowerment in Chronic Pelvic Pain

Authors

• Gayatri Bhanot, UC Berkeley
• Ashley Kochans, UC Berkeley

Files

Description

Chronic pelvic pain (CPP) affects up to 27% of women globally^1, yet diagnosis takes 4 – 12 years on average² — a crisis driven by healthcare fragmentation, systemic gender bias, and a 62% rate of symptom dismissal by healthcare providers³. AdvocateAI is a human-in-the-loop AI platform designed to empower patients to accelerate their own diagnostic journey. By synthesizing fragmented medical records and patient-reported symptoms, the tool creates structured clinical summaries and personalized advocacy scripts. Here, we present our findings from discovery, including a landscape analysis of available CPP treatments, a prototype co-designed by patients, and custom survey instruments. These findings will inform future development and prepare for an HCD project at UC Berkeley.

Publication Date

5-19-2026

City

St. Cloud, MN

Keywords

Artificial intelligence, Pelvic pain, Human-in-the-loop, Diagnosis, Chronic pain, Stigma Information synthesis

Disciplines

Diagnosis | Health Information Technology | Public Health and Community Nursing | Women's Health

Comments

InnovateHER Meeting Poster - May 19, 2026

Recommended Citation

Bhanot, Gayatri and Kochans, Ashley, "AdvocateAI: A Human-in-the-Loop Artificial Intelligence Platform to Improve Diagnostic Trajectories and Patient Empowerment in Chronic Pelvic Pain" (2026). InnovateHER Meeting 2026. 13.
https://digitalcommons.centracare.com/innovateher_meeting_2026/13