Chroneme offers a deterministic clinical decision‑support platform that continuously aggregates longitudinal health data from all providers and applies Bayesian inference with rule‑based models to generate explainable risk scores and alerts. The system detects patient deterioration hours to days before standard scoring systems, delivering traceable, real‑time intelligence that integrates directly into existing EHR workflows for hospitals and intensive care units.
Funding
Funding not disclosed
Founders
Product
Problem
Clinicians often lack continuous, longitudinal insight into a patient’s health trajectory, relying on intermittent visits and fragmented data that can miss early signs of deterioration, especially in critical care settings.
Solution
Chroneme provides a deterministic clinical decision‑support platform that continuously ingests all health signals—labs, medications, diagnoses, and notes—from every provider over time. Using Bayesian inference and 67 rule‑based clinical models across 15 conditions, it generates explainable risk scores and alerts that identify emerging deterioration hours to days before traditional scoring systems. Every recommendation is traceable to its underlying evidence, allowing clinicians to question, understand, and act on the AI’s output with confidence. The platform integrates with existing EHR workflows, delivering real‑time intelligence without a black‑box approach.
Target Audience
Primary users are hospitals, health systems, and intensive care units seeking proactive, explainable AI support for clinicians managing acute and chronic patient care.
Features
- Longitudinal data aggregation from all sources and providers across years
- Bayesian inference engine combined with deterministic clinical rules for 15 conditions
- Explainable alerts and risk scores with full traceability to source evidence
- Early detection of patient deterioration with AUROC 0.926, outperforming standard AI models
- Seamless integration into EHR systems and clinical workflows
- Real‑time monitoring and notification for ICU and other high‑risk settings