1. System Overview
FirstLight / EventHorizon is a unified medical recording and telemetry platform designed for emergency response vehicles. It functions as an intelligent "Black Box" for patient care, capturing the entire pre-hospital narrative.
By integrating multi-modal sensors (Audio, Visual, and Geospatial), the system autonomously generates a live Triage Chart. This data is transmitted in real-time to the destination facility, allowing trauma teams to prepare resources before the patient arrives.
- Goal: Reduce the "Information Gap" responsible for 70-80% of serious medical errors [Joint Commission, 2010].
- Impact: Correctly classify critically ill patients to prevent ICU resource misallocation [JAMA, 2022].
2. Intelligence Modules
Audio Intelligence Unit (AIU)
Continuous capture of first responder dialogue using advanced ASR (Automatic Speech Recognition). The system utilizes a specialized medical NLP layer to extract structured data (medications administered, vital signs) from unstructured speech.
Visual Context Capture (VCC)
Periodic visual sampling provides a timestamped "Proof of Action" for key logistical events. The system confirms patient load times, arrival at triage, and bed turnover, adding visual certainty to the timeline.
Geospatial Movement Tracker (GMT)
High-fidelity GPS tracking with event-based geofencing. The system automatically detects when the unit enters the "Hospital Triage Zone" and triggers final report transmission.
3. Integration Standards
EventHorizon is built on open standards to ensure interoperability with major Electronic Health Records (EHR) such as Epic and Cerner.
| Data Stream | Protocol / Standard | Clinical Utility |
|---|---|---|
| Clinical Narrative | HL7 FHIR (R4) DocumentReference |
Pushes the AI-synthesized "Run Sheet" directly to the physician's inbox. |
| Vital Signs | HL7 FHIR (R4) Observation |
Writes discrete data (HR, BP, SpO2) to flowsheets. |
| Patient Matching | HL7 v2 / FHIR Patient |
Links pre-hospital data to the correct Hospital Medical Record Number (MRN). |
4. Security & Architecture
Hybrid Compute Telemetry
The system is architecture-agnostic, capable of processing data via secure On-Premise Edge modules or compliant Cloud-Based AI clusters. This flexibility ensures performance optimization based on connectivity and client infrastructure requirements.
Privacy Layer
- Auto-Redaction: Visual capture includes automatic face-blurring algorithms to protect patient privacy unless authorized.
- Encryption: All data is encrypted At-Rest (AES-256) and In-Transit (TLS 1.3).
- Sovereignty: All PHI processing occurs strictly within the United States.