A Sensitisation & Orientation Workshop for Faculty, Students, and Medical Institutions
Theme: From AI Awareness to AI Readiness
Tagline: "Helping medical professionals understand, adopt, and responsibly use AI in education, research, clinical practice, and administration."
Workshop Objectives
By the end of the workshop, participants will:
- Understand what AI and Generative AI really are.
- Learn where AI is transforming healthcare.
- Know what AI can and cannot do.
- Develop practical AI skills for everyday academic and professional work.
- Learn safe, ethical, and responsible AI use.
- Experience AI through live demonstrations.
- Build confidence to start using AI immediately.
Target Audience
Faculty
- Professors
- Associate Professors
- Assistant Professors
- Researchers
- Academic Leaders
Students
- MBBS
- MD/MS
- Nursing
- Physiotherapy
- Pharmacy
- Allied Health Sciences
- Residents
Institutions
- Medical Colleges
- Teaching Hospitals
- Research Institutes
- Nursing Colleges
- Healthcare Universities
Duration Options
| Format | Duration |
|---|---|
| Awareness Talk | 90 Minutes |
| Orientation Workshop | Half Day |
| AI Essentials Bootcamp | Full Day |
| Faculty Development Programme | 2 Days |
| Institutional AI Readiness Programme | 3–5 Days |
Half-Day Workshop Structure
Module 1
The AI Revolution in Healthcare
Topics
- Why AI matters
- AI timeline
- Generative AI
- Large Language Models
- AI myths
- Future of healthcare
Discussion
AI will not replace doctors.
Doctors using AI will replace doctors not using AI.
Module 2
AI Essentials
Understanding
- ChatGPT
- Gemini
- Claude
- Perplexity
- Microsoft Copilot
When to use which AI
Strengths
Limitations
Hallucinations
Verification
Module 3
AI for Faculty
Practical demonstrations
- Lecture preparation
- PPT creation
- MCQs
- Case discussions
- Competency-based education
- Curriculum planning
- Assessment
- Feedback generation
- Academic writing
- Grant proposals
- Literature review
- Research ideas
Live Demo
Module 4
AI for Students
Daily use cases
- Learning difficult concepts
- Exam preparation
- Clinical reasoning
- Differential diagnosis practice
- OSCE preparation
- Viva practice
- Flash cards
- Notes
- Mind maps
- Study plans
Live Demo
Module 5
AI for Researchers
Using AI for
- Literature review
- Research gaps
- Research questions
- Study design
- Protocol writing
- Statistics planning
- Paper drafting
- Reviewer response
- Systematic review support
Module 6
AI in Clinical Practice
Applications
- Documentation
- Clinical notes
- Summarization
- Patient education
- Decision support
- Medical coding
- Guidelines
- Clinical communication
Important
AI assists. Doctors decide.
Module 7
Responsible AI
Topics
- Ethics
- Bias
- Privacy
- Confidentiality
- Patient safety
- Data protection
- AI policies
- Verification
Golden Rule
Never upload identifiable patient data into public AI systems.
Module 8
Prompt Engineering Essentials
Simple framework
Goal
Context
Constraints
Format
Audience
Examples
Good prompt
Poor prompt
Prompt improvement
Module 9
Live AI Lab
Participants perform
- Create lecture
- Create MCQs
- Summarize paper
- Explain disease
- Design research proposal
- Generate patient education leaflet
- Create assessment rubric
- Draft email
- Build SOP
Module 10
Future Ready Medical Professional
Emerging trends
- AI Agents
- Clinical copilots
- Medical foundation models
- Multimodal AI
- AI imaging
- Robotics
- Personalized medicine
- Precision healthcare
Faculty Track
Special sessions
- AI-assisted teaching
- AI for accreditation
- CBME support
- Research productivity
- Institutional innovation
- AI policy development
Student Track
Hands-on
- Daily AI toolkit
- Better learning
- Better notes
- Better revision
- Career planning
- Research support
Institutional Track
Topics
- AI readiness assessment
- AI strategy
- Governance
- Faculty training roadmap
- AI policy
- Responsible adoption
- Digital transformation
Deliverable
Institutional AI Adoption Roadmap
Hands-on Activities
Participants will create:
- Lecture plan
- Clinical case discussion
- OSCE station
- MCQs
- Research proposal
- Literature review summary
- Patient education material
- Department SOP
- Meeting minutes
- Scientific presentation
AI Tools Demonstrated
- ChatGPT
- Gemini
- Claude
- Perplexity
- Microsoft Copilot
- NotebookLM
- Gamma
- Napkin AI
- Canva AI
- Consensus
- Elicit
Learning Outcomes
Participants will leave with the ability to:
✓ Understand AI fundamentals
✓ Write effective prompts
✓ Use AI responsibly
✓ Improve teaching
✓ Improve learning
✓ Improve research
✓ Save significant time on routine tasks
✓ Become confident AI users
Deliverables
Each participant receives:
- AI Essentials Handbook for Medical Professionals
- Prompt Book (100+ Medical Prompts)
- Faculty Prompt Library
- Student Prompt Library
- Research Prompt Library
- AI Tools Directory
- AI Ethics Checklist
- Certificate of Participation
Optional Advanced Workshops
After this orientation, institutions can offer a progressive learning pathway:
- AI Essentials for Medical Education
- Generative AI for Clinical Teaching
- AI for Medical Research & Scientific Writing
- AI-Assisted Curriculum Design
- Prompt Engineering for Healthcare
- Responsible AI in Medicine
- Building an AI-Ready Medical College
- AI Productivity for Faculty & Administrators
- AI for Hospital Quality, Documentation & Accreditation
- The AI Cognitive Operating System (AICOS) for Medical Professionals – applying structured workflows such as THINK → ASK → JUDGE → ACCOMPLISH to clinical learning, research, academic decision-making, and institutional problem-solving.
This structure scales from a 90-minute awareness session to a multi-day faculty development programme, providing a clear pathway from AI literacy to institution-wide AI adoption.
