Patient-facing AI triage with safety guardrails — rule-based ESI decision, red-flag escalation, clinician handoff.
verticomply.com/templates/ai-triage-chatbot
Overview
AI Triage Chatbot is a free, HIPAA-compliant healthcare AI template that runs a patient-facing symptom triage conversation, lands on a deterministic ESI severity disposition, and hands off to a clinician when red flags appear. The chief complaint and red-flag intake are conversational, but the ESI-style severity decision is rule-based — never produced by a model — and every disposition is written to an immutable audit log. A plain-language explanation is rendered by AWS Bedrock or Anthropic Claude under a signed BAA when configured, with an honest rule-based fallback otherwise. The template ships a patient portal plus a three-role RBAC console (triage nurse, clinician, admin) with a handoff queue, analytics, HIPAA e-sign consents, and secure messaging. Decision support, not a diagnosis. Customize inside VertiComply, generate the React + Vite + FastAPI + Postgres stack with HIPAA scaffolding, then export to GitHub. No platform lock-in.
5
Features
16
Pages
~40m
Build time
4
Compliance
Conversational intake
ESI severity
Red-flag escalation
Clinician handoff
Decision audit
Ships with a built-in staff console alongside the patient-facing app. Your team gets a real-time operations view, verification controls, reminders, one-click actions, and a full audit trail — accessible at the standard /admin route, gated behind admin role-based access.
RBAC-gated
Audit trail
Multi-user
HIPAA-aware
Public
Patient
Legal
HIPAA
BAA
SOC 2
WCAG 2.2 AA
Secure authentication & sessions
Role-based access control
Immutable audit trail
Seeded, realistic demo data
Responsive, WCAG 2.2 AA-minded UI
Editable branding, colours & copy
AI in Healthcare
Patient-facing AI triage with safety guardrails — rule-based ESI decision, red-flag escalation, clinician handoff.
16
Pages
40m
Build time
Compliance
Integrations