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chifensama01-coder/VIAC.HealthIntel

Domaine:

healthcaregeospatial

Type de record:

software
Créateur:
chi
Hôte:
HealthIntel is a public health intelligence platform developed by Vision in Action Cameroon. The platform combines geospatial analytics, district-level intelligence, forecasting, accountability monitoring, digital health signals, and AI-powered decision support to help health organizations identify trends and make evidence-based decisions. # HealthIntel — Public Health Intelligence Platform **A public health intelligence platform for post-abortion care (PAC) surveillance in the Southwest Region of Cameroon.** Built for **Vision in Action Cameroon** to turn surveillance into decision-ready intelligence — seeing *where* complications cluster, *who* is most affected, *why* it matters, and *what to do next*. > ⚕️ All figures in this build are synthetic, generated locally for presentation and product demonstration. **No real patient information is used or stored.** --- ## Table of Contents 1. What this platform does 2. Feature tour 3. Screens & routes 4. Tech stack 5. Getting started 6. Sign-in accounts 7. Project structure 8. Data model & API 9. Branding & theming 10. Keyboard shortcuts 11. Reports & exports 12. Accessibility & performance 13. Roadmap / extending to production 14. Troubleshooting --- ## What this platform does PAC surveillance tracks complications arising from post-abortion care across health facilities. HealthIntel turns that raw reporting into **decision-ready intelligence**: - **Monitor** key indicators (case volume, complication rate vs. the WHO 20% benchmark, adolescent share, referral rate, facility coverage). - **Locate** risk geographically with a choropleth district map. - **Explain** the picture automatically with an AI Insight Engine that surfaces findings, risks, trends and recommendations. - **Forecast** demand and **hold facilities accountable** via scorecards. - **Act** — generate letterheaded reports, ask the AI assistant, and drill into any district. Design influences and best practices were drawn from established public-health tooling (DHIS2 disease-surveillance dashboards, configurable alert thresholds, GIS thematic mapping, push/standard reports) and modern dashboard UX (KPI-first layout, command palette, micro-interactions). --- ## Feature tour | Area | What you get | |------|--------------| | **Animated platform intro** | A branded hero on the Overview th …