Lucem Health utilizes clinical AI to enhance early disease detection and treatment acceleration for healthcare providers, enabling them to identify high-risk patients and improve clinical outcomes. By increasing cancer detection rates by up to 10 times and reducing AFib-stroke risk by 70%, the platform optimizes the use of limited healthcare resources while improving patient care.
Funding
$13.7M 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.
GMMCFounders
Product
Problem
Healthcare providers often struggle to identify patients at high risk of serious diseases early enough for effective intervention. Limited resources and staffing shortages further complicate the challenge of proactive disease management, leading to delayed diagnoses and poorer patient outcomes. Existing clinical workflows may not effectively surface hidden risks within patient data.
Solution
Lucem Health offers AI-powered solutions that enable healthcare organizations to detect diseases earlier and identify undertreated patients. The platform analyzes existing patient data to reveal hidden risks and accelerate treatment, improving both patient lives and the clinical and financial yield from scarce care delivery resources. By integrating validated clinical AI models into existing workflows, Lucem Health helps providers deliver higher-value care and expand patient access to timely interventions. The solutions aim to drive more proactive care by finding more patients in existing data and treating them sooner.
Target Audience
The primary target audience includes healthcare providers seeking to improve early disease detection and treatment, as well as life science companies aiming to help providers target patients who could benefit from their products.
Features
- AI-powered early disease detection solutions that surface patients at higher risk of serious diseases.
- Validated clinical AI models integrated into existing clinical workflows.
- Identification of patients with undiagnosed AFib and higher risk of AFib-related strokes.
- Solutions for lung cancer, lower GI issues, stroke, liver disease, diabetes, and prediabetes progression.
- Focus on improving clinical and financial outcomes without requiring changes to how clinicians practice medicine.