The startup develops a healthcare technology that analyzes real-time vital signs to predict potential medical shocks. By providing minute-by-minute alerts, it enables medical staff to respond more quickly, reducing critical response times and improving patient outcomes.
Funding
$2.7M 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.
Founders
Product
Problem
In critical care settings, delayed detection of patient deterioration can lead to increased morbidity and mortality. Traditional monitoring methods may not provide sufficiently granular, real-time insights into a patient's physiological status, hindering timely intervention.
Solution
Spass develops an AI-powered platform that analyzes real-time vital signs data to predict potential medical shocks and adverse events. By continuously monitoring a patient's physiological parameters, the system identifies subtle changes and patterns indicative of impending deterioration. The platform generates minute-by-minute alerts, enabling medical staff to proactively respond to critical situations. This early warning system aims to reduce critical response times, improve patient outcomes, and optimize resource allocation in hospitals.
Target Audience
The primary target audience includes hospitals, intensive care units, and other critical care facilities seeking to improve patient safety and outcomes through proactive monitoring and early intervention.
Features
- Real-time analysis of vital signs data from various monitoring devices
- AI-powered predictive models for early detection of medical shocks
- Minute-by-minute alerts delivered to medical staff via mobile devices or integrated systems
- Customizable alert thresholds based on patient-specific risk factors
- Integration with existing hospital information systems and electronic health records