Big Cities Health Coalition · AI Community of Practice
What health departments are building with AI
Preview realistic sample use cases modeled on common public-health needs, and see how approved member submissions will present code, deployments, vendor details and lessons learned.
13 use cases 3 stages 4 with source code
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Playbook or write-upExtreme-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
Internal toolHome-visit note summarizer for community health workers
Result in one line: Visit notes filed same-day rose from 54% to 93% in the eight-week pilot
Community health workers record a short voice memo after each home visit; the tool transcribes it, drafts the structured visit note in our case-management format, and queues it for the CHW to review and file — turning a 20-minute typing task into a 4-minute review.
- Clinical & community services
- Staff & partner coordination
Skills needed to set it up: Power user Readiness: Guided setup Readiness: Needs a data agreement4 more
DashboardWastewater 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
Internal toolInspection backlog dashboard built with an AI coding assistant
Result in one line: Built in three weeks against a four-month estimate; replaced four hand-merged spreadsheets
A nightly operations dashboard for environmental health backlogs, built in three weeks by one developer working with an AI coding assistant.
- IT & operations
- Environmental health
- 1 more area of work
Skills needed to set it up: Developer Readiness: Needs customization Data it touches: Internal, non-public data Who sees the output: Internal staff
Featured Playbook or write-upPlain-language rewrites for public notices
Result in one line: Median reading level of published notices dropped from grade 14 to grade 7
A prompt kit and review checklist staff use to rewrite public notices at a sixth-grade reading level without changing what the notice requires.
- Communications & outreach
- Emergency preparedness
Skills needed to set it up: Anyone on staff Readiness: Ready to deploy Readiness: Human review built in2 more
Featured Source codeSyndromic 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
Start from what already works
Each sample entry shows where code, deployments or vendor details will appear after a real submission is reviewed and approved.
Honest notes on what it took
The demo shows how entries can capture data sources, tools, staffing and lessons learned — not just a project description.
One form, one review, then it's live
A short form opens a GitHub issue. A maintainer reviews it in a pull request and the entry publishes when it merges.
Share a use case
Fill out a short form. Maintainers review every submission before it goes live.

