Predicate's OpenDx platform combines wearable biosensors and natural language processing to detect early warning signs of sepsis, enabling healthcare providers to make timely and informed treatment decisions. By actively seeking and analyzing patient data, the platform aims to reduce mortality rates associated with delayed sepsis treatment, which increases by 7.6% for every hour of delay.
Funding
Funding not disclosed
Founders
Product
Problem
Delayed sepsis treatment significantly increases mortality rates, with a 7.6% increase in mortality for each hour of delay. Traditional sepsis detection methods often rely on manual observation and lab results, leading to delays in diagnosis and intervention.
Solution
Predicate's OpenDx platform leverages wearable biosensors and natural language processing (NLP) to proactively detect early warning signs of sepsis. The platform continuously monitors patient data from wearable sensors and analyzes unstructured clinical notes using NLP to identify subtle indicators of sepsis onset. By actively seeking and analyzing patient data, OpenDx aims to enable healthcare providers to make timely and informed treatment decisions, ultimately reducing mortality rates associated with delayed sepsis treatment. The system provides clinical decision support to help target therapy and reduce trial and error in treatment.
Target Audience
The primary target audience includes hospitals, healthcare providers, and clinical staff involved in sepsis management and patient care.
Features
- Continuous patient monitoring via wearable biosensors
- Natural language processing of clinical notes for early sepsis detection
- Bio-Lingual database for predicting sepsis onset
- App-based alerts for timely notification of potential sepsis cases
- Blockchain technology for enhanced data privacy and security