Communicating Risk Reactively
summary
A web tool visualizes risk‑adjusted 30‑day survival for pediatric heart surgery using a statistical formula and Monte Carlo simulations to produce 95% and 99.8% predicted ranges; the prototype uses ClojureScript + React + Rum with Figwheel and Devcards, an OpenCPU R backend and map + sortable table UI. Four iterative focus groups reshape wording and layout, reveal the Bristol outlier outside 99.8%, and drive design choices like no league tables to avoid misleading press coverage.
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chapters (11)
- 0:00Start
- 2:45Child Heart Surgery
- 3:37Congenital Heart Disease
- 4:43CHD affects about 6 babies in every 1000 live births
- 9:41The Bristol Inquiry into excess mortality
- 17:38The plan
- 24:47Project Cycles 2 & 3: The Map
- 26:00Project Cycles 3 and 4
- 32:25The Reactive Data Flow
- 36:34Patch missing SVG attributes
- 40:18A final note
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