Reveal.js deck + prototypes + speaker scripts for the talk 'Role of AI in the Analysis of Unstructured Clinical Databases' (AritmoLab — Policlinico San Donato, 2-3 October 2026). Lives on its own branch while in progress; not for main until ready.
3.1 KiB
3.1 KiB
Outline v3 (FINAL structure — proposal A) — Role of AI in the Analysis of Unstructured Clinical Databases
Deck: deck/index.html (Reveal.js, 15 slides, fonts embedded).
Presenters: MP = Dr. Marco Pancotti · SP = Dr.ssa Sara Paratico.
| # | Slide | Master | By | Time | Status |
|---|---|---|---|---|---|
| 01 | Title | title | MP | 40s | ✅ final |
| 02 | Where we started (4 systems + 2 missing) | interactive | MP | 65s | ✅ final |
| 03 | The project at a glance (flow + brain popups) | architecture | MP | 75s | ✅ final |
| 04 | What the text miner reads (numbers) | stats | SP | 60s | ✅ real data |
| 05 | The hard problems of clinical NLP | concept | SP | 75s | 🟡 draft |
| 06 | Building the clinical ontology | concept | SP | 75s | 🟡 draft |
| 07 | Trust the text: validation & human review | concept | SP | 75s | 🟡 draft |
| 08 | AI as co-engineer (mapping YAMLs) | artifact | MP | 70s | ✅ real |
| 09 | Genetic data — many sources, one patient | architecture | MP | 60s | ⚠️ wording TBD (a/b) |
| 10 | ThothII: ask the warehouse in plain English | concept | MP | 75s | 🟡 draft |
| 11 | From datamarts to predictive statistics & ML | concept | MP | 60s | 🟡 draft |
| 12 | Live demo cue (star schema · Superset · ThothII) | divider | MP | ~2min live | ✅ |
| 13 | Lessons learned | concept | MP | 60s | 🟡 draft |
| 14 | (merged into 15) | — | — | — | — |
| 15 | Thank you + Q&A (+ Substack pointer) | closing | MP | 25s | 🟡 draft |
Talk ≈ 13.4 min + ~2 min demo. 15 slides = user cap reached.
Confirmed decisions
- Project named AritmoLab everywhere (internal codename never appears).
- Slide 02 (Where we started): map of legacy systems — Cardioref / Genetic data / Omics Portal / ECG subsystems, each clickable → popup (usage + problem box); two dashed "MISSING" cards (Health Intelligence, ML-ready datamarts).
- Slide 03 flow: 3 sources + "Future sources" (dashed) → staging → integration 🧠 → star schema → datamarts 🧠 → AritmoLab (DWH + Portal); brain popups = The mappings / Reading the clinical text / Datamarts from plain English.
- Text-analysis block (SP): slides 04–07. Scripts to be validated by SP.
- Speaker view (S): Tall layout customized — upcoming 25%, timer bottom-left, notes 1.45em. Default: upcoming 20%, notes 80%.
- Fonts embedded (Source Sans 3 + Source Serif 4, OFL) — no Google dependency.
OPEN
- Slide 09 genetics wording: (a) deterministic reconciliation [recommended] vs (b) AI upstream (only if MP confirms it happens outside the ETL).
- Draft slides 05-07, 10-11, 13-15: review one by one.
- Dark theme of the whole deck: final pass.
- "twenty years" (slide 01 script + slide 02): confirm real data span.