Daniel Rosehill

First Aid Protocols For Israel: Machine-Readable JSON Reference Collection

Israel first aid open source emergency preparedness Magen David Adom
First Aid Protocols For Israel: Machine-Readable JSON Reference Collection

I've been building a personal reference collection of first aid protocols structured as machine-readable JSON, with sources from both Israeli and American first aid authorities. The idea is to have structured, versioned protocols that can be used to generate printable flowcharts and checklists — and that can also be fed into AI systems as context.

Important caveat: this is a personal reference, not a substitute for professional first aid training.

What's included

Protocols (JSON)

  • 27 categories covering adults and children

  • Organized by geography (Israel vs. USA protocols)

  • Each protocol includes: unique ID, source authority, structured steps with decision points, warnings, and do-not lists

  • Conforms to a JSON schema for validation

Flowcharts

  • Decision-making flowchart documents compiled via Typst for A4 printing

  • Designed for readability under stress

Home kit shopping lists

  • Adult-only and family versions

  • Israel-specific with local brand names and retailers

  • Stock check checklist (inspection at Pesach and Rosh Hashana)

Authorities referenced

  • Israel: Magen David Adom (MDA) as primary authority; United Hatzalah protocols for additional detail

  • USA: American Heart Association (AHA) / American Red Cross (ARC)

Emergency numbers (Israel)

  • 101 — MDA ambulance

  • 100 — Police

  • 102 — Fire

  • 1221 — United Hatzalah

  • 104 — Home Front Command

View the project on GitHub

danielrosehill/Israel-First-Aid ★ 0

First aid procedures and decision-making flowchart based on MDA/Hatzalah procedures

TypstUpdated Mar 2026
docsproceduressops
Daniel Rosehill

Daniel Rosehill

AI developer and technologist specializing in AI systems, workflow orchestration, and automation. Specific interests include agentic AI, workflows, MCP, STT and ASR, and multimodal AI.