PK 4]_rels/PK 4] docProps/PK 4]ppt/PK 4] ppt/_rels/PK 4] ppt/charts/PK 4]ppt/charts/_rels/PK 4]ppt/embeddings/PK 4] ppt/media/PK 4]ppt/slideLayouts/PK 4]ppt/slideLayouts/_rels/PK 4]ppt/slideMasters/PK 4]ppt/slideMasters/_rels/PK 4] ppt/slides/PK 4]ppt/slides/_rels/PK 4] ppt/theme/PK 4]ppt/notesMasters/PK 4]ppt/notesMasters/_rels/PK 4]ppt/notesSlides/PK 4]ppt/notesSlides/_rels/PK 4]vgy,y,[Content_Types].xml PK 4]]] _rels/.rels PK 4]NMwdocProps/app.xml 0 0 Microsoft Office PowerPoint On-screen Show (16:9) 0 22 22 0 0 false Fonts Used 2 Theme 1 Slide Titles 22 Arial Calibri Office Theme Slide 1Slide 2Slide 3Slide 4Slide 5Slide 6Slide 7Slide 8Slide 9Slide 10Slide 11Slide 12Slide 13Slide 14Slide 15Slide 16Slide 17Slide 18Slide 19Slide 20Slide 21Slide 22 PptxGenJS false false false 16.0000 PK 4] docProps/core.xml PptxGenJS Presentation PptxGenJS Presentation PptxGenJS PptxGenJS 1 2026-08-23T06:36:50Z 2026-08-23T06:36:50Z PK 4] 3>ppppt/_rels/presentation.xml.rels PK 4]Oݨ ppt/theme/theme1.xmlPK 4]:[[ppt/presentation.xml PK 4]Xppt/presProps.xml PK 4]ppt/tableStyles.xml PK 4]D >00ppt/viewProps.xml PK 4]H7t!ppt/slideLayouts/slideLayout1.xml PK 4]ђ77,ppt/slideLayouts/_rels/slideLayout1.xml.rels PK 4]\Gppt/slides/slide1.xml AI IN DAILY MEDICAL PRACTICEModule 5Ethics, Governance & the Local Regulatory ContextSelf-paced + two seminars & a workshopAI in Daily Medical Practice — a curriculum for practicing physiciansPK 4]3 ppt/slides/_rels/slide1.xml.rels PK 4].ppt/notesSlides/notesSlide1.xml 1PK 4]:A*ppt/notesSlides/_rels/notesSlide1.xml.rels PK 4]n>G>Gppt/slides/slide2.xml BEFORE YOU STARTHow this module works1Preview Quiz5 min, ungraded. Orients you before reading.→2Handout / SlidesSection C's checklist is the practical core. Section E asks you to apply it before reading the discussion.→3Two Seminars & a WorkshopLive sessions with your cohort — the local regulatory picture, the checklist in practice, and advocacy discussion.→4Post-Test12 questions, scored. 80% pass, retake anytime.2PK 4]2- ppt/slides/_rels/slide2.xml.rels PK 4]ppt/notesSlides/notesSlide2.xml 2PK 4]xշ*ppt/notesSlides/_rels/notesSlide2.xml.rels PK 4]1o)o)ppt/slides/slide3.xml BY THE END OF THIS MODULEYou will be able to1Apply data-privacy and patient-consent principles to AI tool use in the local health system context.2Identify what governance currently exists — or doesn't — for AI-enabled clinical tools in Timor-Leste, and what that means for individual physician responsibility.3Assess a proposed AI tool for fitness in a setting where imported validation data may not transfer.3PK 4]W/ ppt/slides/_rels/slide3.xml.rels PK 4]K |Őppt/notesSlides/notesSlide3.xml 3PK 4]9 Y*ppt/notesSlides/_rels/notesSlide3.xml.rels PK 4]mBllppt/slides/slide4.xml ASECTION AData Privacy and Patient Consentin AI-Assisted CareKNOW4PK 4]` ppt/slides/_rels/slide4.xml.rels PK 4]vsppt/notesSlides/notesSlide4.xml 4PK 4]J *ppt/notesSlides/_rels/notesSlide4.xml.rels PK 4]ĵX88ppt/slides/slide5.xml SECTION A · FOUR QUESTIONS TO ASKClinical consent doesn't automatically cover this5Where doesthe data go?Many cloud-hosted tools process data on servers outside Timor-Leste, under a different jurisdiction's data-protection rules — or none in particular.Is it used totrain futuremodels?Some consumer-grade AI tools retain and reuse conversation data by default. Clinical use calls for an enterprise or opt-out configuration.Can identifiersbe stripped?De-identifying what you enter, where the workflow allows it, limits exposure even when a tool's own data practices are unclear.Does thepatient know,and can they decline?A patient never told a tool was involved hasn't meaningfully consented to that specific use, even if they consented to being treated.PK 4]5 ppt/slides/_rels/slide5.xml.rels PK 4]W8ppt/notesSlides/notesSlide5.xml 5PK 4]Qe*ppt/notesSlides/_rels/notesSlide5.xml.rels PK 4]grmppt/slides/slide6.xml SECTION A · THE PRINCIPLESilence isn't consent6De-identify what you reasonably can. Know, at least in outline, where a tool's data goes before you rely on it routinely. Tell the patient plainly when a tool is materially involved in their care.A patient not objecting to a device or screen in the room is not the same as an informed choice to have their conversation processed by a third-party AI system. If you can't explain in one sentence what the tool does with the data, you're not yet in a position to say the patient consented to it.PK 4]ج+ ppt/slides/_rels/slide6.xml.rels PK 4]zppt/notesSlides/notesSlide6.xml 6PK 4]=|*ppt/notesSlides/_rels/notesSlide6.xml.rels PK 4]V1vppt/slides/slide7.xml BSECTION BWhat Regulatory Oversight Exists inTimor-Leste Today, and What Doesn'tKNOW7PK 4]F ppt/slides/_rels/slide7.xml.rels PK 4])lppt/notesSlides/notesSlide7.xml 7PK 4]|g*ppt/notesSlides/_rels/notesSlide7.xml.rels PK 4]P?Dwwppt/slides/slide8.xml SECTION B · THE STARTING FACTNo AI-specific framework — general standards apply in full8As of this writing, Timor-Leste has no AI-specific regulatory framework for clinical software. What still applies in full: general medical practice standards, the ordinary duty of care, existing data-protection principles, and your own professional accountability.This is a framework for thinking about the gap — not a legal ruling on any specific tool or situation. For anything institution-specific or urgent, the Ministry of Health, your professional licensing body, and your institutional leadership are the authorities to consult directly.PK 4]6 ppt/slides/_rels/slide8.xml.rels PK 4]iސppt/notesSlides/notesSlide8.xml 8PK 4]pO*ppt/notesSlides/_rels/notesSlide8.xml.rels PK 4]C. ppt/slides/slide9.xml SECTION B · BRING YOUR OWN ANSWERDiscussion prompts for the live seminar91When a new AI tool was last introduced at your institution, who actually made that call, and what oversight, if any, was applied before it went live?2If a locally-used AI tool produced a harmful output tomorrow, is it clear to you who within your institution you'd report that to?PK 4]>$ ppt/slides/_rels/slide9.xml.rels PK 4]qppt/notesSlides/notesSlide9.xml 9PK 4]1*ppt/notesSlides/_rels/notesSlide9.xml.rels PK 4]}||ppt/slides/slide10.xml CSECTION CEvaluating a New AI Tool BeforeAdopting It: A Practical ChecklistFIND10PK 4]Ѳ!ppt/slides/_rels/slide10.xml.rels PK 4]O ppt/notesSlides/notesSlide10.xml 10PK 4]T+ppt/notesSlides/_rels/notesSlide10.xml.rels PK 4]%P22ppt/slides/slide11.xml SECTION C · THE ADOPTION CHECKLIST (1/2)Something to consult, not memorize111What is it validated on? Population, setting, and disease prevalence — and how different from where you practice?2Where does patient data go, and who else can access it?3What happens when it's wrong — does it fail visibly, or silently?4Is there a real human-override path, usable in a time-pressured encounter?PK 4];!ppt/slides/_rels/slide11.xml.rels PK 4]s6ӑ ppt/notesSlides/notesSlide11.xml 11PK 4]O+ppt/notesSlides/_rels/notesSlide11.xml.rels PK 4]Y55ppt/slides/slide12.xml SECTION C · THE ADOPTION CHECKLIST (2/2)Something to consult, not memorize125Who is accountable if the output contributes to harm — vendor, institution, or clinician?6Does it work on the connectivity and hardware you actually have?7What does it cost, ongoing, and who is paying?8Has anyone locally used it, and can you ask them directly?In the live workshop, you'll run this checklist against a real or proposed tool from your own setting.PK 4]c!ppt/slides/_rels/slide12.xml.rels PK 4]*)@ ppt/notesSlides/notesSlide12.xml 12PK 4]Fb+ppt/notesSlides/_rels/notesSlide12.xml.rels PK 4]ҨLiippt/slides/slide13.xml DSECTION DProfessional Responsibilityin a Governance GapKNOW13PK 4]x!ppt/slides/_rels/slide13.xml.rels PK 4]Ї ppt/notesSlides/notesSlide13.xml 13PK 4]yv+ppt/notesSlides/_rels/notesSlide13.xml.rels PK 4]Y**ppt/slides/slide14.xml SECTION D · TWO DIRECTIONS AT ONCECareful judgment, and building what doesn't yet exist141Report what you find. A biased, wrong, or unsafe output is information your institution needs — not just your problem to route around individually.2Don't let personal convenience substitute for institutional process. A tool being useful to you isn't the same as it having been vetted for your patients collectively.3Advocate rather than stay silent. Relevant regulatory or quality-assurance experience transfers here directly, even though it wasn't built for AI specifically.PK 4]O!ppt/slides/_rels/slide14.xml.rels PK 4]0 ppt/notesSlides/notesSlide14.xml 14PK 4]?ݤ+ppt/notesSlides/_rels/notesSlide14.xml.rels PK 4]xbbppt/slides/slide15.xml ESECTION EWorked Exercise: Applyingthe ChecklistTHINK15PK 4]*R!ppt/slides/_rels/slide15.xml.rels PK 4]Qz ppt/notesSlides/notesSlide15.xml 15PK 4]$Q+ppt/notesSlides/_rels/notesSlide15.xml.rels PK 4]Affppt/slides/slide16.xml SECTION E · STEP 1 — READ THIS FIRSTRun the checklist yourself before reading on16PROPOSALA regional health office is considering a smartphone-based AI tool that screens photographs of skin lesions and flags ones warranting urgent referral. It was developed and validated on patient populations in Southeast Asia, though not specifically in Timor-Leste, and is proposed as a way to extend dermatology triage capacity to rural health posts that currently have none. The office is asking for your clinical input before deciding whether to pilot it.Before turning the page — run Section C's checklist against this proposal. Where are you most confident, and where are you most uncertain?PK 4] !ppt/slides/_rels/slide16.xml.rels PK 4]  ppt/notesSlides/notesSlide16.xml 16PK 4] y+ppt/notesSlides/_rels/notesSlide16.xml.rels PK 4] r3r3ppt/slides/slide17.xml SECTION E · DISCUSSIONReasoning through a few of the items171Validation population: closer to Timor-Leste than many alternatives, but still not the same — a real gap to name, not automatically disqualifying.2Failure mode: under-flagging an urgent lesion fails silently and dangerously; over-flagging burdens an already-stretched referral system.3Override path: has to be usable by non-specialist staff at rural posts, not just a dermatologist — otherwise it isn't a real override here.4Accountability: a regional-office-level rollout raises this at an institutional scale — worth surfacing before a pilot begins, not after.PK 4]檋!ppt/slides/_rels/slide17.xml.rels PK 4]r. ppt/notesSlides/notesSlide17.xml 17PK 4]BI+ppt/notesSlides/_rels/notesSlide17.xml.rels PK 4]laappt/slides/slide18.xml FSECTION FAdvocating for LocallyValidated ToolsTHINK18PK 4]Yh!ppt/slides/_rels/slide18.xml.rels PK 4] ppt/notesSlides/notesSlide18.xml 18PK 4]N+ppt/notesSlides/_rels/notesSlide18.xml.rels PK 4]s8,8,ppt/slides/slide19.xml SECTION F · OPENING THE CONVERSATIONLanguage that opens a conversation, not closes one19Raising a validation concern with institutional leadershipSay: “Before we roll this out system-wide, I'd like to see how it performs on a small local pilot — can we test it against outcomes we already know, on our own patients, before wider adoption?”Avoid: Framing it as a blanket refusal — that forecloses a conversation about legitimate benefit.Engaging a vendor or ministry contactSay: “Can you share what population this was validated on, and whether there's a plan for local validation here?”Avoid: Assuming silence means no gap exists — the absence of a clear answer is itself the finding.PK 4]~!ppt/slides/_rels/slide19.xml.rels PK 4]0[ ppt/notesSlides/notesSlide19.xml 19PK 4]i+ppt/notesSlides/_rels/notesSlide19.xml.rels PK 4])vOOppt/slides/slide20.xml SECTION F · LIVE DISCUSSIONWhat actually works, in practice20In the live group discussion, you'll compare notes on what has actually worked, or hasn't, when advocating for this in your own institution — the practical obstacles are usually more instructive than the principle itself.PK 4]g_!ppt/slides/_rels/slide20.xml.rels PK 4]7 ppt/notesSlides/notesSlide20.xml 20PK 4]SB+ppt/notesSlides/_rels/notesSlide20.xml.rels PK 4]J++ppt/slides/slide21.xml BEFORE YOU MOVE ONModule 5 summaryKNOWData-privacy and consent principles for AI tool use; the current regulatory gap in Timor-Leste and why its absence doesn't reduce accountability; the physician's role in helping close that gap.FINDA practical, reusable tool-adoption checklist covering validation population, data handling, failure mode, override path, accountability, connectivity fit, cost, and local track record.THINKApplying the checklist to a real proposed tool, and practiced language for advocating for locally validated tools with leadership, vendors, and regulators.21PK 4]z!ppt/slides/_rels/slide21.xml.rels PK 4]89| ppt/notesSlides/notesSlide21.xml 21PK 4]HΩ+ppt/notesSlides/_rels/notesSlide21.xml.rels PK 4]owppt/slides/slide22.xml NEXT STEPSTake the Post-Test12 scored questions, 80% pass mark. 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