How Physicians Use AI Safely — Without Risking Their License

  • Built for Canadian Family Practice

    This course is designed around CMPA reasoning, privacy law, and real documentation risk

  • Avoid Hidden Medico-Legal Traps

    Understand how AI can quietly contaminate charts, leak data, or create legal exposure — and how to avoid it.

  • Reduce Charting & After-Hours Work

    Learn exactly where AI can safely help with documentation, summaries, and patient communication

Where AI Can Quietly Expose You

Copy-pasting hallucinated content
PHI uploaded to non-compliant tools
Undisclosed AI-assisted documentation
Over-reliance without verification
Misleading patient communication

Instructor(s)

I led the team that built mdchecklist after years of working as a family physician inside real clinics and seeing how competent doctors quietly lose money, time, and control due to invisible system failures—including myself early on. In a clinic in Saskatoon, a simple review of billing and documentation structure uncovered over $46,000 per year in missed revenue, without adding a single patient. mdchecklist is not CME filler—it’s a practical operating system built by physicians to stop real money leaks, reduce CMPA and CRA risk, and put doctors back in control of how their practice actually runs.

Where AI Actually Helps

  • Drafting structured notes

  • Generating patient handouts

  • Clarifying complex documentation

  • Reducing after-hours charting

  • Improving communication clarity

About the Course

This is not a course about using AI to diagnose patients or automate medical decisions. This is a practical, conservative guide for Canadian physicians who want to use AI to: Reduce documentation time, Improve clarity of notes and patient communication, Summarize charts and letters, without violating privacy, contaminating medical records, or creating medico-legal risk. The course is built around: CMPA-style reasoning, Real-world complaint and audit scenarios Conservative, defensible workflows You will learn what you should use AI for, what you must never use it for, and how to use it safely inside real medical practice.

AI in Practice Framework

    1. Introduction

    2. Understanding Digital Health

    3. Module overview

    1. Introduction

    2. Chapter one overview

    3. The Core Truth

    4. What AI Is Good At (Today)

    5. What AI Is Bad At (And Always Will Be)

    6. The Correct Mental Model

    7. The Strategic Opportunity

    1. Introduction

    2. Chapter two overview-How Doctors Actually Get in Trouble

    3. The Uncomfortable Truth

    4. The Prime Directive

    5. What Counts as Identifiable Information?

    6. The CMPA Reality (How This Will Be Judged)

    7. The Documentation Contamination Problem

    8. Safe vs Unsafe Data Usage

    9. The Bottom Line

    1. Introduction

    2. Chapter three overview -Where AI Actually Saves You Time (Safely)

    3. The Core Principle

    4. The Safest and Most Valuable Use Cases

    5. A Practical Workflow That Actually Works

    6. Concrete Examples (High Yield)

    7. Summarizing Large Charts

    8. Templates and Reusable Prompts

    9. Bottom Line

    1. Introduction

    2. Chapter four overview — High-Quality Handouts in Minutes (Not at Midnight)

    3. The Reality in Most Clinics

    4. The Core Opportunity

    5. The Correct Workflow

    6. What AI Is Particularly Good At Here

    7. Concrete Examples

    8. Standardized Handouts = Less Work Forever

    9. The Bottom Line

    1. Introduction

    2. Chapter five overview— Practical Guardrails, Not Tech Hype!

    3. The Only Mental Model That Works

    4. The Prime Safety Rule (Repeat This to Yourself)

    5. What You SHOULD Use It For

    6. What You Should NOT Use It For

    7. The Correct Prompting Style for Physicians

    8. The “No New Content” Rule

    9. A Safe, Repeatable Workflow

    10. Build Reusable “Safe Prompts”

    11. The Hallucination Defense Checklist

    12. The Professional Bottom Line

Use AI in Your Practice

  • 50 lessons

Two ways to access MDChecklist

Core Access = Access the Billing & Documentation Framework + Core Practice Modules

Full Access = Core Access + all future expansions

MDChecklist is an evolving practice operating system. CME credits pending accreditation approval.
Most physicians recover the cost of this system within their first 2–4 weeks of implementation
If you do not identify measurable billing or documentation improvements within 30 days, we will work with you to optimize implementation