Healwell AI is a healthcare technology company that employs artificial intelligence and data science to enable early disease identification and risk assessment for patients. By developing algorithms that enhance clinical decision-making, Healwell AI aims to improve patient outcomes and reduce healthcare costs through timely diagnosis and personalized treatment pathways.
Funding
$38.6M 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
Healthcare providers often struggle with the early identification of complex or rare diseases due to the vast amount of patient data and the limitations of traditional diagnostic methods. This can lead to delayed diagnoses, increased healthcare costs, and poorer patient outcomes.
Solution
HEALWELL AI offers an AI-powered decision support system that analyzes patient data from EMRs to identify individuals at risk for over 100 different diseases, including both chronic and rare conditions. By applying advanced machine learning algorithms and clinical guidelines, the system risk-stratifies patients into high, medium, or low-risk categories, enabling healthcare providers to focus on those who need immediate attention. This early detection and risk assessment facilitate timely intervention, personalized treatment pathways, and improved patient outcomes while minimizing the risks of late or misdiagnosis. The platform integrates seamlessly into existing clinical workflows, providing evidence-based insights without increasing the burden on healthcare practices.
Target Audience
The primary target audience includes healthcare providers, physicians, and clinical researchers seeking to improve early disease detection, enhance patient care, and reduce healthcare costs through AI-driven insights.
Features
- AI-driven analysis of patient data from EMRs to identify potential risks for over 100 diseases
- Risk stratification of patients into high, medium, and low-risk categories
- Algorithms built and continuously refined using clinical guidelines, peer-reviewed literature, and real-world data
- Secure and compliant data handling to ensure patient information remains safe and private
- Integration with WELL Health Technologies' EMR App Ecosystem
- Identification of both rare and chronic diseases, such as chronic kidney disease, hypertension, and diabetes
- Support for personalized and preventative care without increasing the burden on practices