weDecide: Clinical Tool for Shared Decision-Making for Treatment of Menopause Symptoms

Bencomo, Nelly; Horrocks, Jennifer; Walton, Dylan; Samin, Huma

Abstract

This work introduces weDecide, an AI/ML-based clinical tool designed to support personalised and shared decision-making (PSDM) for menopause treatment. The tool combines explainable machine learning models with multi-criteria decision-making methods to integrate clinical guidelines and individual patient preferences. Using anonymised audit data and synthetic datasets, weDecide provides transparent treatment recommendations that facilitate meaningful patient-clinician dialogue. Preliminary results show promising accuracy and usability. Future efforts will focus on scaling real-world data use and enhancing the tool’s interface.

Citation

Bencomo, N., Horrocks, J., Walton, D., & Samin, H. (2025, June). weDecide: Clinical Tool for Shared Decision-Making for Treatment of Menopause Symptoms. Presented at BMS Annual Scientific Conference 2025, Chesford Grange, Kenilworth, UK

• Presentation Conference Type: Conference Abstract
• Conference Name: BMS Annual Scientific Conference 2025
• Start Date: Jun 26, 2025
• End Date: Jun 27, 2025
• Acceptance Date: May 14, 2025
• Deposit Date: May 14, 2025
• Publicly Available Date: May 21, 2025
• Journal: Post Reproductive Health journal
• Peer Reviewed: Peer Reviewed
• Book Title: BMS quarterly journal, Post Reproductive Health
• Keywords: menopause, AI, decision-making
• Public URL: https://durham-repository.worktribe.com/output/3947976
• Publisher URL: https://uk.sagepub.com/en-gb/eur/post-reproductive-health/journal202197
• External URL: https://thebms.org.uk/meeting/bms-34th-annual-scientific-conference/
• Other Repo URL: https://uk.sagepub.com/en-gb/eur/post-reproductive-health/journal202197