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Big Cities Health Coalition AI Use Case Catalog
Types of AI

Prediction & forecasting

Predicts risk, demand or trends from historical data.

3 use casesRefine these 3 in use cases →

Use cases tagged Prediction & forecasting

  • Wastewater surveillance trend alerts
    Dashboard

    Stage: In productionOrganization: Harborview Metro Health District

    Wastewater surveillance trend alerts

    Result in one line: Epi team saw the winter flu rise nine days before case reports confirmed it

    Watches the weekly wastewater sampling results for the metro's five treatment plants, flags statistically unusual rises for COVID, flu and RSV, and posts a short plain-language alert to the epi team's channel before the Monday briefing.

    • Epidemiology & surveillance
    • Data & informatics
    Skills needed to set it up: Analyst or data scientist Readiness: Guided setup Readiness: Needs customization4 more
  • Extreme-heat outreach targeting brief
    Playbook or write-up

    Stage: Idea / exploringOrganization: Sunrise Plains Regional Health Coalition

    Extreme-heat outreach targeting brief

    A worked plan for using the county's existing heat-vulnerability index plus forecast data to decide, two days ahead of a heat event, which neighborhoods get door-knocking, which get robocalls, and which cooling centers to extend — written up for other jurisdictions to adapt before we build anything.

    • Emergency preparedness
    • Environmental health
    • 1 more area of work
    Skills needed to set it up: Anyone on staff Readiness: Reference only Data it touches: Public data only Who sees the output: Partner organizations
  • Triage queue listing seven ranked syndromic signals with area, what changed, signal strength and status.
    Featured Source code

    Stage: PilotOrganization: Lakeshore City Department of Public Health

    Syndromic surveillance signal triage assistant

    Result in one line: Cut daily alert review from 90 to 30 minutes for two analysts

    Reads the daily syndromic alert export, drafts a plain-language note for each signal, and ranks the ones an epidemiologist should open first.

    • Epidemiology & surveillance
    • Data & informatics
    Skills needed to set it up: Analyst or data scientist Readiness: Needs customization Readiness: Human review built in3 more