About Lasa Health

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.

```xml <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. </problem> <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. </solution> <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. </features> <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. </target_audience> ```

What does Lasa Health do?

Where is Lasa Health located?

Lasa Health is based in Boulder, United States.

When was Lasa Health founded?

Lasa Health was founded in 2021.

How much funding has Lasa Health raised?

Lasa Health has raised 250000.

Location

Boulder, United States

Founded

2021

Funding

250000

Employees

4 employees

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Lasa Health

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Executive Summary

lasahealth.com 700+

Founded 2021 – Boulder, United States

Funding

Estimated Funding

$100K+

Team (<5)

No team information available.

Company Description

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.

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.

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.