Codes by Shrey

Healthcare Communication + Architecture

ChatEMT

An early healthcare communication concept shaped by EMT experience, CCnC Solutions product incubation, BLS safety boundaries, and AI-assisted information gathering.

Public-Safe Scope

  • Information gathering, not diagnosis
  • Escalation-aware healthcare communication
  • Patient summary generation for EMS handoff
  • Workflow thinking from field care to product architecture

Origin

CCnC Solutions + EMT

Type

Healthcare chatbot sandbox

Boundary

BLS-informed support

Skill

Architecture + workflow design

Problem

Patients and caregivers often struggle to organize symptoms, context, urgency, and questions before interacting with EMS or clinicians.

People

The person using the tool is not looking for a diagnosis. They need help making a stressful health situation legible enough to communicate clearly and escalate appropriately.

Process

I explored lightweight web prototypes and prompt experiments that separated information gathering, scope boundaries, summary format, and escalation language.

Node / Express Python Prompts OpenAI Experiments Static Frontend

Product

The product concept was a conversational intake and handoff assistant that gathers structured information, asks relevant follow-ups, and produces a readable EMS-oriented summary without pretending to replace medical judgment.

EMT + Healthcare Workflow Context

EMT experience matters here because healthcare communication is not just a content problem. It is a time-pressured workflow involving uncertainty, triage language, patient emotion, family context, documentation, transport, and escalation.

EMT-B Patient Handoff Triage Logic Scope Boundaries

Professional Takeaway

Healthcare Workflow Design

Define the care moment, user need, risk boundary, escalation path, and handoff artifact.

Prompt + State Separation

Keep persona, rules, question flow, and summary format legible enough to test and revise.

Product Maturity

Early sandbox work later informs more formal clinical simulation, AI safety, and healthcare communication pages.