Atronics Labs
Jessie is a continuous patient reassessment platform for emergency departments, using voice-first, multilingual check-ins to capture symptom changes between triage and provider evaluation. The system converts plain speech into FHIR-aligned clinical data, surfaces meaningful changes to charge nurses, and integrates with Epic and Cerner. It is built on an edge-first, HIPAA-aligned architecture for secure hospital deployment.
- Healthcare Technology
- Digital Health
- Software Only
- Artificial Intelligence
Funding
Founders
Founder details are not available yet.
Product
Problem
Between triage and provider evaluation, patients in emergency departments experience a gap where symptoms shift, pain escalates, and patients may leave without being seen. Reassessment relies on isolated snapshots and manual workflows, creating operational blind spots and delaying recognition of changing conditions.
Solution
Jessie is a continuous patient reassessment platform that fills the waiting-room gap by capturing a structured baseline after triage and prompting patients hourly with voice-first, multilingual check-ins. The system adapts follow-up questions to what the patient says, converts plain speech into FHIR-aligned clinical data while preserving the raw quote, and compares each response against baseline to detect meaningful changes. Charge nurses see every patient and every change since triage on a single screen, with meaningful signals only and one-tap acknowledgment. The platform integrates with Epic and Cerner and uses an edge-first, HIPAA-aligned architecture that keeps PHI on-network with sub-second latency.
Target Audience
Primary customers are emergency departments in hospitals and health systems, specifically charge nurses, ED nursing leadership, and operational leaders seeking to improve reassessment coverage and reduce left-without-being-seen rates.
Features
- Voice-first check-ins in 50+ languages with adaptive follow-up questions that respond to patient input, not scripted surveys
- Structured baseline capture after triage covering symptoms, pain, and concerns, with hourly configurable check-ins on the hospital's cadence
- Change detection engine that converts plain speech into structured clinical data, compares against baseline, and flags meaningful deltas
- Charge nurse dashboard showing every patient and change since triage with one-tap acknowledgment and no alert fatigue
- FHIR-aligned JSON output with raw patient quotes preserved verbatim, ready for Epic and Cerner integration via SMART on FHIR
- Edge-first architecture with sub-second latency, HIPAA-aligned workflows, BAA-readiness, and audit trail on every interaction
- Guardrails: no independent diagnosis, no autonomous ESI changes, no routing away from ED care, and no silent word replacement