Provides an AI-driven platform that integrates with electronic health records (EHRs) to identify undiagnosed chronic pelvic pain in women using machine learning algorithms. By reducing diagnosis time from years to weeks, it enables clinicians to deliver data-driven, personalized care while offering a 24/7 chatbot for ongoing patient support and pain management.
Funding
$250K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Globally, up to 26% of women suffer from chronic pelvic pain, often enduring a diagnostic journey that can last over a decade. This lengthy delay in diagnosis can significantly impact quality of life and hinder timely access to appropriate care.
Solution
Lasa Health offers an AI-powered platform designed to expedite the diagnosis of chronic pelvic pain in women. By integrating with electronic health records (EHRs) and employing machine learning algorithms, the platform identifies potentially undiagnosed patients. This enables clinicians to deliver data-driven, personalized care more efficiently. Additionally, Lasa AI, a 24/7 chatbot, provides continuous patient support, answering questions, suggesting coping strategies, and helping manage pain through therapeutic exercises and relaxation techniques.
Target Audience
The primary target audience includes healthcare providers, specifically gynecologists and primary care physicians, seeking to improve diagnostic accuracy and efficiency in identifying and managing chronic pelvic pain in women.
Features
- AI-powered screening integrates with EHRs to identify potential chronic pelvic pain patients.
- Machine learning algorithms analyze patient data to highlight those requiring further evaluation.
- Clinical decision support tools aid clinicians in making accurate, data-driven diagnoses.
- Lasa AI chatbot provides 24/7 personalized support to patients, including guidance and pain management techniques.
- Mobile app offers resources and tools for patients to manage their condition.