Clinical AI Skills: Prompt Engineering & Evaluation is a structured, hands-on training program designed exclusively for medical and allied healthcare professionals who want to confidently use AI tools in clinical, academic, and research settings.

This course bridges the gap between clinical expertise and AI application, equipping participants with practical skills to write high-quality healthcare prompts, detect errors, and develop strong evaluation rubrics for AI-generated outputs. The focus is on responsible, safe, and clinically relevant AI usage.

Course Instructor – Dr. Monika Saxena, MD (Medicine)

Dr. Monika Saxena, MBBS, MD (Medicine), has 20+ years of experience in Internal Medicine, specializing in critical care and infectious diseases. She is a Senior Lecturer at Swiss MR Institute and actively integrates clinical expertise with AI-driven healthcare innovations.

 

What This Course Covers

🔹 Module 1 & 2: Clinical Prompt Engineering

Participants will learn:

• What a prompt means in healthcare AI
• Specifications of high-quality medical prompts
• Common mistakes in clinical prompt writing
• How to identify valid vs. flawed prompts
• Techniques to refine prompts for clarity, safety, and relevance

Each session includes:

• Hypothetical clinical scenarios
• Interactive group analysis
• Prompt validation exercises
• Guided error identification

This is an interactive, discussion-driven format where participants actively analyze and improve prompts.

🔹 Module 3 & 4: Evaluation & Rubric Writing

Since AI outputs must be evaluated systematically, participants will learn:

• What a rubric is in AI evaluation
• How to write positive and negative rubrics
• Core specifications of strong evaluation frameworks
• Differences between constructive and critical rubric design
• How to objectively assess AI-generated medical content

Participants will:

• Evaluate sample rubric points
• Draft their own positive and negative rubrics
• Receive detailed instructor feedback

Apply evaluation principles to practical AI outputs
 

Why This Course is Different

✔ Designed specifically for healthcare professionals
✔ Small batch size (8–10 participants)
✔ Case-based, discussion-oriented learning
✔ Real-time feedback and correction
✔ Practical, assessment-focused structure
✔ Equal emphasis on prompt creation and evaluation

 

Assessment

Participants will complete a structured assessment that includes:

• Identifying errors in flawed prompts
• Writing corrected versions
• Creating an original prompt

Developing rubric points for evaluation
 

Learning Outcomes

By the end of the course, participants will be able to:

• Write clear, clinically appropriate AI prompts
• Identify unsafe or poorly structured healthcare prompts
• Develop structured evaluation rubrics
• Critically assess AI-generated medical outputs
• Confidently integrate AI into clinical and academic workflows

Clinical AI Skills: Prompt Engineering & Evaluation prepares healthcare professionals to move beyond basic AI usage and become informed, responsible contributors in AI-driven healthcare environments.