AI-Powered Clinical Practice: From ChatGPT to Digital Healthcare

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June 21, 2026

🎯 Learning Objectives

By the end of this course, you will be able to:

  • Demystify AI: Understand how Large Language Models (LLMs) and Generative AI apply specifically to medicine.

  • Optimize Workflow: Drastically reduce time spent on clinical documentation, discharge summaries, and administrative reporting.

  • Enhance Decision Support: Use AI safely as a sounding board for differential diagnosis and evidence-based clinical reasoning.

  • Accelerate Research: Review, summarize, and extract insights from complex medical literature in seconds.

  • Improve Patient Education: Leverage AI-driven image and video generation to explain complex medical conditions to patients.

  • Practice Ethically: Master the core principles of data privacy (protecting PII) and mitigate the risks of AI hallucinations.

🗺️ Course Curriculum: 12 Modules

Introduction to AI in Healthcare
Module 1

Explore the landscape of AI in modern medicine, current trends, and how automation is reshaping clinical environments.

Understanding LLMs and Generative AI
Module 2

A non-technical deep dive into how models like ChatGPT work, their capabilities, and their limitations in a medical context.

Prompt Engineering for Clinicians
Module 3

Learn how to write precise, context-aware instructions (prompts) to get accurate, high-quality medical outputs from AI.

Clinical Documentation and AI Scribes
Module 4

Discover how to transform rough clinical notes into structured discharge summaries, referral letters, and patient charts instantly.

AI for Differential Diagnosis Support
Module 5

Use AI tools safely to brainstorm rare conditions, analyze complex symptom clusters, and prevent diagnostic blind spots.

AI for Medical Literature Review
Module 6

Master tools that read, critique, and synthesize volumes of medical research papers, keeping you updated with minimal effort.

Evidence-Based Medicine with AI
Module 7

Integrate AI workflows to cross-reference patient cases with current clinical guidelines and evidence-based protocols.

Medical Image Interpretation and AI
Module 8

Understand how AI algorithms assist in screening X-rays, scans, and dermatological images, acting as a reliable second pair of eyes.

Creating Medical Presentations with AI
Module 9

Generate professional, visually compelling slides for grand rounds, conferences, and clinical audits in minutes.

Text-to-Image and Image-to-Video for Patient Education
Module 10

Create custom, easy-to-understand visual aids and animations to explain diseases and surgical procedures to patients.

Building No-Code Medical Apps
Module 11

Learn how to build simple, customized digital calculators or triaging apps for your ward or clinic without writing a single line of code.

Ethics, Privacy, and Future of AI Medicine
Module 12

Navigate patient confidentiality laws, avoid data leaks, tackle algorithmic bias, and look ahead at the future of digital health regulation.

👥 Who Should Enrol?

  • Doctors & Consultants: Looking to streamline research, slide creation, and complex diagnostic brainstorming.

  • Healthcare Administrators & Managers: Seeking to optimize hospital data analysis, quality assurance reporting, and institutional policy drafting.

Introduction to AI in Healthcare

What is Artificial Intelligence?

What is Artificial Intelligence?

What is AI Slide show

What is AI Slide show

Understanding LLMs and Generative AI

Lesson 1

Prompt Engineering for Clinicians

prompt engineering for doctors

prompt engineering for doctors

Clinical Documentation and AI Scribes

Lesson 1

Lesson 1

AI for Differential Diagnosis Support

Lesson 1

Lesson 1

AI for Medical Literature Review

Lesson 1

Lesson 1

Evidence-Based Medicine with AI

Lesson 1

Lesson 1

Medical Image Interpretation and AI

Lesson 1

Lesson 1

Creating Medical Presentations with AI

Lesson 1

Lesson 1

Text-to-Image and Image-to-Video for Patient Education

Lesson 1

Lesson 1

Building No-Code Medical Apps

Lesson 1

Lesson 1

Ethics, Privacy, and Future of AI Medicine

Lesson 1

Lesson 1

Full Course
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13 Lessons
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