Evidence2Health
Evidence2Health is dedicated to advancing personalized medicine through innovative platforms and analytics. Their mission is to improve patient care and clinical trial efficiency by leveraging AI-driven insights, advanced health analytics, and wearable device integration. They aim to bring precision medicine closer to daily clinical practice by providing tools for personalized healthcare, real-time monitoring, and data analytics.
Industries
Nr. of Employees
small (1-50)
Evidence2Health
Fairfield, Connecticut, United States, North America
Products
AI-driven clinical trial analytics platform
A platform that applies automated ML to clinical trial datasets to produce individualized effect estimates and explainable trial inferences.
Wearable integration and trial telemetry suite
A suite that ingests wearable device data (vitals, activity, raw sensors), provides participant management, and supports real-time monitoring and post-hoc analysis.
Real-time health analytics dashboards
Customizable dashboards for monitoring care quality and tracking clinical metrics (examples include lipid and hypertension trend dashboards).
AI-driven clinical trial analytics platform
A platform that applies automated ML to clinical trial datasets to produce individualized effect estimates and explainable trial inferences.
Wearable integration and trial telemetry suite
A suite that ingests wearable device data (vitals, activity, raw sensors), provides participant management, and supports real-time monitoring and post-hoc analysis.
Real-time health analytics dashboards
Customizable dashboards for monitoring care quality and tracking clinical metrics (examples include lipid and hypertension trend dashboards).
Services
Custom real-time care monitoring dashboard development
Design and deployment of custom dashboards and monitoring tools to present clinical and operational metrics for care teams.
Wearable data integration and analytics services
Integration of wearable and sensor data into research workflows, including data ingestion, storage, preprocessing, and analytics pipeline development.
Custom real-time care monitoring dashboard development
Design and deployment of custom dashboards and monitoring tools to present clinical and operational metrics for care teams.
Wearable data integration and analytics services
Integration of wearable and sensor data into research workflows, including data ingestion, storage, preprocessing, and analytics pipeline development.
Expertise Areas
- Clinical trial analytics
- Wearable data integration for research
- Real-time health monitoring and dashboards
- Explainable machine learning for healthcare
Key Technologies
- Automated machine learning (AutoML)
- Explainable AI (XAI)
- Wearable sensor data processing
- Cloud-native architecture