This quiz is ungraded and confidential to you — nothing here is scored or recorded. Its only purpose is to prime you for what's coming and show you, before you start reading, which parts of the handout deserve the closest attention. Answer honestly rather than trying to "pass" it — there's nothing to pass. Click an option to see a short note, then move to the next question.
Question 1 · Self-check
Have you used a general-purpose AI tool (ChatGPT, Copilot, Gemini, or similar) before, for any purpose?
No wrong answer — this just helps you calibrate. If this is your first real exposure, budget slightly more time for Section A of the handout; if you're already a regular user, you may move through it faster and focus on Sections B and D.
Question 2
True or false: AI systems can sometimes generate confident, fluent, plausible-sounding information that is factually wrong.
True — this is called hallucination, and it's the single most important idea in this module. Section B of the handout is built entirely around it.
Question 3
Which of these best describes, at a basic level, what a "large language model" (LLM) does?
The second option is closest. LLMs generate text by pattern prediction, not database lookup — which is exactly why they can sound certain while being wrong. Full definition in Handout Section A.
Question 4 · Self-check
Can you currently name a category of AI tool already being used somewhere in clinical documentation or diagnosis?
Whatever you answered, Handout Section C gives you a simple four-category map (documentation, diagnostic support, patient-facing, administrative) that covers nearly everything you'll encounter in this course.
Question 5
True or false: an AI tool that works well in a large, well-resourced hospital will automatically work just as well in a small, low-connectivity clinic.
False — connectivity, cost, language, and the population a tool was validated on all affect whether it actually fits a given setting. Handout Section D is a worksheet built specifically to help you think this through for your own practice.
Question 6 · Self-rating
Right now, how confident are you that you could explain the difference between AI, machine learning, and an LLM to a colleague?
Not at allVery confident
Question 7 · Self-rating
How confident are you, right now, in your ability to recognize when an AI-generated answer might be wrong?
Not at allVery confident
Question 8
According to the approach this course uses, which of these is something you do not need to memorize precisely?
The middle option — that detail belongs in the "FIND" layer: know it exists, know how to look it up when you actually need it, don't carry it in memory. The handout opens with this KNOW / FIND / THINK model, which the whole course is built around.
You're oriented — start the handout
This wasn't graded, and nothing you answered was recorded anywhere. Keep Section B (how AI fails) and the Section D worksheet in mind as you read — they're where most of this module's real value sits.