Healthmetryx provides a Real-World Data Platform that collects and analyzes human breath emissions data to deliver actionable insights for population health assessments, occupational health, and clinical research. By integrating extensive respiratory metrics with advanced analytics, the platform enables healthcare organizations to monitor health trends, identify risk factors, and enhance patient care.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional methods for assessing respiratory health often lack the ability to capture real-world data continuously and at scale, hindering the ability to proactively identify health trends and risk factors. Existing solutions may not provide comprehensive respiratory metrics integrated with diverse demographic and environmental data. This makes it difficult for healthcare organizations and researchers to gain actionable insights for population health management, occupational safety, and clinical research.
Solution
Healthmetryx offers a real-world respiratory data platform that collects and analyzes human breath emissions to provide actionable insights. The platform utilizes a wearable device, the Clarinet, to capture comprehensive respiratory metrics and vital signs in real-world settings. This data is then aggregated with diverse demographic, location, and medication datasets, and analyzed using cloud-based analytics leveraging AI/ML models. Healthmetryx provides solutions for population health assessments, occupational health and workplace safety, and clinical research and drug development, enabling proactive monitoring and targeted interventions.
Target Audience
Healthmetryx serves health payors, providers, and life science R&D organizations, including governments, insurance companies, hospitals, clinics, and pharmaceutical companies.
Features
- Wearable Clarinet device for continuous, real-time collection of exhaled breath data
- Respiratory Cloud Machine for secure data storage and advanced analytics
- Integration of respiratory metrics with demographic, location, and medication data
- Proprietary AI/ML models for identifying patterns, trends, and correlations in respiratory health
- Customizable reports, APIs, and data streams for flexible data access
- Cluster Analysis Program for population-scale respiratory data collection and analysis
- Data license offering providing access to anonymized respiratory data from diverse populations