Amazon Quick Workshop

Build AI Agents for Healthcare in 1 Day — No Code Required
(TBD) (TBD)

Workshop Positioning — ทำไมต้อง Amazon Quick

Before: Generic AI DLC
  • AI Development Life Cycle theory
  • ใช้เวลาเรียน framework นาน
  • ไม่มี working product ตอนจบ workshop
  • ต้อง deploy infrastructure เอง
After: Amazon Quick Workshop
  • Hands-on ตั้งแต่ชั่วโมงแรก
  • จบ workshop = มี working AI Agent
  • No code, no infra, no deploy
  • ใช้ use case จริงของโรงพยาบาลเป็นแกน
  • พร้อม scale ต่อทันทีหลัง workshop
Attendees
10-20 คน (Hospital staff)
Duration
09:00 - 16:30
Customer
Healthcare Organization
Format
No-Code Hands-on
Product
Amazon Quick

Key Talking Points

Agenda
TimeSessionFormat
09:00-09:30Setup Amazon Quick + IntroSetup
09:30-10:15Amazon Quick Demo — What's PossibleLive Demo
10:15-10:30Break-
10:30-12:00Lab 1 Build Your First Healthcare AI AgentHands-on
12:00-13:00Lunch-
13:00-14:30Lab 2 Add Knowledge Base (Spaces) + RAGHands-on
14:30-14:45Break-
14:45-15:45Lab 3 Automation, Research & Multi-AgentHands-on
15:45-16:30Show & Tell + Adoption RoadmapDiscussion
Use Cases — Mapped to Amazon Quick Features
Nursing Assessment AI (FANCAS)
Nursing Department
Hero Demo
Agent รับข้อมูล assessment ผู้ป่วย แล้ว generate Problem List + Nursing Interventions อัตโนมัติ
Custom Agent Spaces (NANDA-I) Schedule
WOW: Schedule Agent สรุป assessment ทุกเช้า 06:30 + auto-export Excel ward summary
Health Intelligence Lab
Clinical Research
Hero Demo
Knowledge-based AI Agent สำหรับ clinical literature review & evidence synthesis
Custom Agent Spaces (Guidelines) Deep Research
WOW: Multi-agent pipeline: Research Agent -> Summarizer -> Report Generator ทำ literature review อัตโนมัติ
LASA Drug Safety Agent
Pharmacy Department
Strong Fit
Agent ค้นหายาชื่อคล้าย/หน้าตาคล้ายจาก LASA database แจ้งเตือนความเสี่ยง
Custom Agent Spaces (Drug DB) Scheduled Alert
Clinical Triage AI
ER/Contact Center
Strong Fit
Agent คัดกรองอาการผู้ป่วยตาม ESI protocol แนะนำแผนก/ระดับความเร่งด่วน
Custom Agent Spaces (ESI Protocol) Browser (Booking)
Innovation Advisor
Innovation Unit
Strong Fit
Agent วิเคราะห์ HealthTech trends, competitive intelligence, innovation proposals
Custom Agent Deep Research Weekly Brief
Lab Structure

1 Build Your First Healthcare AI Agent

90 min — Everyone builds their own agent
  1. Open Amazon Quick, create new Agent from persona prompt
  2. Write System Prompt (provided template per use case)
  3. Test with Smart mode + Thinking for clinical reasoning
  4. Iterate prompt: adjust guardrails, output format, Thai language
  5. Compare: Fast vs Balanced vs Smart — see quality difference

2 Add Knowledge Base (Spaces) + RAG

90 min — Ground your agent in real clinical data
  1. Create a Space, upload clinical documents (drug lists, protocols, guidelines)
  2. Link Space to Agent — now it answers from YOUR documents
  3. Test: ask questions whose answers are in the documents
  4. Test guardrails: ask out-of-scope questions — agent should decline
  5. Try file generation: ask agent to produce Excel/PDF report from data

3 Automation, Research & Multi-Agent

60 min — Scale from demo to production workflow
  1. Schedule: set agent to run daily/weekly (morning briefing, alert digest)
  2. Deep Research: clinical literature review with citations
  3. Background Tasks: chain multiple agents for complex workflows
  4. Browser: pull live data from public health registries
  5. Discussion: adoption path from Quick prototype to Bedrock production

Adoption Roadmap (Post-Workshop)

AWS Thailand SA Team | Amazon Quick Workshop for Healthcare | (TBD)

SA Owner: (TBD)