Healcisio develops a predictive analytics model for early detection of sepsis using deep learning algorithms, integrated within their COMPOSER platform, which is currently being beta-tested in hospitals. This technology enhances patient outcomes by enabling real-time monitoring and intervention, thereby reducing sepsis mortality rates and optimizing hospital quality reporting.
Funding
Funding not disclosed
Founders
Product
Problem
Sepsis, a life-threatening condition, often goes undetected in its early stages due to its complex and rapidly evolving nature. Delayed diagnosis and intervention contribute to high mortality rates and increased healthcare costs. Hospitals also face challenges in optimizing quality reporting and ensuring compliance with clinical quality measures.
Solution
Healcisio offers COMPOSER, a predictive analytics platform that leverages deep learning algorithms for the early detection of sepsis and other adverse events. The platform integrates seamlessly into existing hospital workflows, providing real-time patient monitoring and risk assessment. By identifying patients at high risk of developing sepsis, COMPOSER enables timely interventions, improving patient outcomes and reducing mortality rates. Additionally, the platform automates hospital quality reporting, streamlining compliance with CMS clinical quality measures and optimizing resource allocation.
Target Audience
Healcisio's primary customers are hospitals and healthcare systems seeking to improve sepsis detection, reduce mortality rates, optimize quality reporting, and enhance patient outcomes.
Features
- Deep learning model for early prediction of sepsis and other adverse events
- Real-time patient monitoring and risk stratification
- Automated alerts for timely intervention
- Integration with existing hospital EHR systems
- Automated generation of reports for CMS clinical quality measures (e.g. SEP-1 bundle compliance)
- Predictive models for hospital cost optimization through targeted interventions
- Clinical AI system that can actively order assessments & biomarkers to improve the diagnostic process.
- Personal health companion leveraging generative AI, conversational agents, and consumer wearables to prevent hospital readmissions.