Amazon Quick Workshop

Build AI Agents for Healthcare in 1 Day — No Code Required
7 Aug 2026 (Fri) AWS Thailand HQ, Singha Complex

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 จริงของ BDMS เป็นแกน
  • พร้อม scale ต่อทันทีหลัง workshop
Attendees
15 คน (BDMS)
Duration
09:00 - 16:30
Customer
BDMS Group
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)
Phyathai Hospital
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
BDMS
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
Paolo Hospital
Strong Fit
Agent ค้นหายาชื่อคล้าย/หน้าตาคล้ายจาก LASA database แจ้งเตือนความเสี่ยง
Custom Agent Spaces (Drug DB) Scheduled Alert
Clinical Triage AI
Bangkok Hospital
Strong Fit
Agent คัดกรองอาการผู้ป่วยตาม ESI protocol แนะนำแผนก/ระดับความเร่งด่วน
Custom Agent Spaces (ESI Protocol) Browser (Booking)
Innovation Advisor
BDMS Innovation Team
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 BDMS Healthcare | 7 August 2026

SA Owner: Kajonsak Temeeyajit (kajonsak@amazon.co.th)