How I Started Learning AI as a Physician

A few months ago, a colleague asked me a simple question.

"Jennifer… how did you even start learning AI?"

She assumed I had taken some advanced computer science course or spent months studying algorithms.

The truth was much simpler.

I started with curiosity.

One evening after clinic, I opened ChatGPT and typed a question: "Explain artificial intelligence in healthcare like I'm a physician with no technical background."

That one prompt opened a new world.

I started asking more questions.

• How can AI summarize research?
• How can it generate patient education?
• How can it help physicians save time?

Then I began experimenting — building small tools, testing prompts, exploring workflows.

Here's What I Tell Physicians Who Want to Start Learning AI

1. Start Using It Daily

Ask it to explain complex topics or summarize new research. You do not need a formal course or a technical background. Open the tool, ask a question, and pay attention to what comes back. The learning happens in the doing.

2. Learn How to Write Good Prompts

The quality of your question determines the quality of the answer. A vague prompt produces a vague response. A specific, well-framed prompt — one that gives context, defines the audience, and states the goal — produces something genuinely useful. This is a learnable skill, and it is one of the most valuable things a physician can develop right now.

3. Stay Curious

You do not need to become a programmer to understand AI. You do not need to know how the model was trained or how the architecture works. What you need is the willingness to keep asking questions, keep testing, and keep refining your understanding over time.

Why This Matters

Medicine is changing quickly. AI is already embedded in radiology workflows, clinical decision support tools, EHR documentation, and diagnostic algorithms. Physicians who understand how these systems work — who can evaluate their outputs critically, identify their limitations, and advocate for their patients when the algorithm is wrong — will be the ones who shape the future of healthcare.

The physicians who step back and wait for someone else to figure it out will find themselves navigating a clinical environment they did not help design.

The gap between those two groups begins with one decision: to start.

The First Step Is Simpler Than You Think

You do not need a roadmap. You do not need a certification. You do not need to wait until you have more time.

Open ChatGPT, Claude, or Gemini. Type a question about something you encountered in clinic today. See what it says. Push back on it. Ask a follow-up. Notice where it is right and where it falls short.

That is how I started.

That is how most physicians who are leading in this space started.

And it all begins with one question.

The Clinical AI Institute works with health systems, physician groups, and conference organizers to build the governance structures and clinical competencies that responsible AI adoption requires.