Endometriosis patient creates solution to accelerate diagnosis

For millions of women around the world, chronic pelvic pain is a silent struggle, often taking years—sometimes over a decade—to receive a proper diagnosis. This delay not only prolongs suffering but also affects daily life, mental health, and overall well-being. Margaret Melville, an endometriosis patient, knows this firsthand. For over a decade, she endured symptoms that were frequently dismissed, misdiagnosed, or inadequately treated. Frustrated by the lack of clear answers and meaningful support, she recognized an urgent need for change.

Determined to prevent others from experiencing the same uncertainty, Margaret founded Lasa Health—an AI-powered platform designed to accelerate diagnosis and provide continuous support for those facing chronic pelvic pain. The platform integrates with electronic health records (EHRs), using machine learning to detect undiagnosed cases and help patients receive medical attention sooner. Beyond screening, it assists clinicians with data-driven insights to improve diagnostic accuracy and ensure patients receive the right care. The platform also creates a seamless interaction between healthcare providers and patients, making sure that individuals get the treatment they need as early as possible.

A key feature of Lasa Health is Lasa AI, a chatbot that acts as an assistant for those navigating pelvic pain. Available for free to patients using the platform, Lasa AI provides guidance on symptom management, relaxation techniques, and therapeutic exercises. This ensures that users are not left alone in their journey and have reliable support between medical appointments. Lasa AI also educates users about their condition, providing them with actionable insights that help them better manage their symptoms daily.

While the AI assistant is free for patients, the broader system is integrated into healthcare providers’ workflows, helping them streamline diagnosis and improve patient care. By bridging the gap between patients and clinicians, Lasa Health aims to transform a traditionally slow and frustrating process into one that is efficient and accurate.

Lasa Health's impact has been further reinforced by its involvement in the EMMA Study (Evaluating Medical Models for Accelerated Diagnosis), a research initiative that examines the effectiveness of AI in speeding up the diagnosis and management of chronic pelvic pain. This study has provided invaluable data that is helping to refine the platform's algorithms and improve its diagnostic capabilities, ensuring that it remains at the forefront of medical innovation.

"I know what it’s like to feel unheard and to spend years searching for answers. Lasa Health exists so that no one else has to go through that alone." — Margaret Melville, Founder of Lasa Health.

Adapted from:
https://www.fempower-health.com/post/innovations-in-endometriosis-diagno...

For more information:
https://www.lasahealth.com/

https://www.youtube.com/watch?v=t_jFCwJovJA