FLAGSHIP PLATFORM · JESSIE

The reassessment layer, purpose-built for the ED.

Continuous patient reassessment that operates between triage and provider evaluation. Voice-first. 50+ languages. FHIR-ready. Every meaningful change surfaced, every routine wait honored.

One patient's evening with Jessie

From welcome to red-flag detected — in her own words.

Sarah walked into the ED at 9:38 PM with chest tightness. Here's what happened in the four hours she waited — through Jessie's eyes.

Step 1 · Welcome

Meet the patient in their language.

Sarah picks English on the kiosk. Jessie could have offered her Español, Polski, 中文, العربية, or 46 other native voices. The intake starts warm, not clinical.

9:37 PM · Kiosk check-in
Jessie welcome screen with language selection
Step 2 · Baseline captured

A conversation, not a form.

Name, DOB, chief complaint, pain level, ID and insurance. All captured before triage. Every field becomes structured, FHIR-aligned data — with the patient's exact words preserved.

9:38 PM · Initial check-in
Jessie initial check-in screen with baseline patient info
Step 3 · Continuous companion

Sarah is never alone in the lobby.

Between the initial assessment and the next care interaction, Jessie stays with her. She can check in — type, speak, or tap. Every check-in takes 30 seconds. Every one is compared against her baseline.

9:42 PM – 12:52 AM · Waiting room, 3h 10m so far
Jessie patient care journey screen with progress timeline
Step 4 · Change detected

The moment we exist for.

Sarah tells Jessie her chest hurts more and she's now feeling dizzy. Jessie recognizes the red-flag combination against her chest-pain baseline, escalates directly to a nurse instead of routing to In Basket, and gives Sarah a one-tap page.

12:52 AM · Change detected · Provider notified within 8 minutes
Jessie change reported with red-flag symptom alert
What the care team sees

Sarah's evening, as one clean timeline.

Nothing routed for the two check-ins where nothing changed. One clear alert for the moment that mattered. Full audit trail. RN acknowledgment. Every quote preserved for the chart.

Jessie clinical timeline showing Patient 1042 reassessment history with triage baseline, two no-change check-ins, one change-detected event, and RN acknowledgment

Auto-close when nothing changes

Two check-ins were logged and auto-closed without paging anyone. No alarm fatigue.

Escalate when it matters

Patient's own words become the trigger: “chest hurts more” + “dizzy” in a chest-pain baseline.

Human stays in the loop

RN Rodríguez acknowledged, provider was notified, patient re-evaluated within 8 minutes. Every decision, a person.

Why this is hard

Jessie is not a chatbot.

A useful reassessment layer has to do six things well at once. Miss any one and it becomes noise — or worse.

Remember the baseline

Every follow-up is grounded in what the patient told triage. "Worse" means nothing without a baseline to be worse than.

Detect change

Score, quality, location, symptom count, and intent — tracked as a delta, not a snapshot.

Structure plain speech

Patient language becomes clinical data — with the raw quote preserved for the chart.

Follow hospital rules

Escalation thresholds, timers, and routing are configured with your team. Nothing hard-coded.

Avoid noise

Only meaningful changes surface. Nobody adds a new alarm to a nursing station casually.

Route to the right person

Charge nurse, house supervisor, provider — different signals, different owners.

Technical foundation

Built for hospitals. Not consumers.

Edge-first. Interoperability-first. Safety-first. Every architectural choice starts with hospital IT review.

Edge compute

PHI never leaves the network unless you opt in. Sub-second latency, even in the basement.

SMART on FHIR

Structured JSON · FHIR-aligned summaries · Epic and Cerner integration scoped during pilot planning.

HL7 v2 ready

Message bridges for downstream systems that don't speak FHIR yet.

HIPAA-aligned

BAA-ready. Audit trail on every interaction. Security review support in every pilot.