Ungraded and confidential to you — nothing here is scored or recorded. It just primes you for what's coming. Click an option to see a short note, then move on.
Question 1 · Self-check
Has an AI tool ever given you an answer that confirmed what you already suspected — and did you look at it any less closely because of that?
No wrong answer — this is the exact pattern Section A names as the confirmation-bias trap. Most clinicians recognize it once it's pointed out; noticing it in yourself is the whole first step.
Question 2
True or false: this module's working rule is that oversight counts as long as a human clicked "approve" somewhere in the process.
False — Section A's working rule is the opposite: oversight that isn't effortful isn't real oversight. A checkbox ticked without genuine scrutiny protects no one.
Question 3
A tool trained mostly on data from populations unlike your own patients is most likely to under-perform because of —
The first option — Section C walks through three concrete ways bias gets baked into clinical AI tools, and why that matters specifically for Timor-Leste.
Question 4 · Self-check
Do you already have your Module 2 documentation output and your Module 3 differential-diagnosis case handy, or would you need to find them again?
Worth locating before you start — Section B's worksheet asks you to re-examine both of those earlier outputs with a more critical eye than you may have used the first time.
Question 5
True or false: an AI tool stating a precise, specific figure — like an exact percentage or dose adjustment — is generally a sign that figure is well-supported.
False — unexplained precision is a flag, not reassurance. Section D's "Open the Black Box" routine and Section E's simulation both turn on exactly this trap.
Question 6 · Self-rating
Right now, how confident are you that you could catch a confident, fabricated-sounding clinical detail from an AI tool before it affected a decision?
Not at allVery confident
Question 7
If you follow an AI tool's suggestion and it turns out to be wrong, who is professionally and legally accountable for the decision?
The first option. Section F is direct about this: using an AI tool does not shift the standard of care or the accountability that comes with your clinical judgment.
Question 8
Which habit does this module treat as the single routine underneath everything else it teaches?
The second option — Section D names this explicitly as one routine you've already been practicing since Module 2, now made into a single checklist.
You're oriented — start the handout
This wasn't graded, and nothing you answered was recorded anywhere. Before Section E's simulation, write your own answer first — don't read the AI's confident wrong answer before you've committed to yours.