Torch provides an AI-powered medical memory platform that unifies fragmented patient health records from wearables, labs, apps, and portals into a contextual engine, enabling clinicians to see the full health picture quickly. By aggregating data across multiple hospitals and labs, the system reduces the time needed to parse scattered information and improves diagnostic accuracy.
Funding
Funding not disclosed
Founders
Product
Problem
Clinicians must piece together patient information scattered across hospitals, labs, wearable devices, consumer health apps, and web portals, which consumes time and can lead to incomplete clinical insight.
Solution
Torc offers an AI‑driven platform that aggregates these disparate health data sources into a single, searchable “medical memory.” The system ingests records from multiple hospitals, laboratories, wearable manufacturers, consumer health companies, and web portals, then applies a context engine to organize and link related data points. By presenting a unified view, clinicians can quickly access the full patient picture without manually reconciling fragmented records. The platform’s AI layer highlights relevant trends and connections, helping providers make more informed decisions faster. Torc also leverages OpenAI models to scale its analytics and improve the accuracy of data interpretation. The result is reduced chart‑review time and a clearer, more actionable patient history.
Target Audience
Primary users are physicians, specialists, and care teams in hospitals and health systems that need a comprehensive, instantly accessible view of patient health data.
Features
- Automated ingestion of data from hospitals, labs, wearables, consumer health apps, and web portals
- AI‑powered context engine that links and organizes records into a coherent patient timeline
- Real‑time searchable interface that surfaces relevant information with minimal manual effort
- Integration of OpenAI models to enhance data interpretation and scalability
- Secure, HIPAA‑compliant data handling and encryption throughout the pipeline
- API access for embedding the unified medical memory into existing EHR or workflow tools