Johns Hopkins Bloomberg School of Public HealthCenter for Global Digital Health Innovation
Gilman Hall clock tower, Johns Hopkins University

AI Use Case Scoping & Readiness Assessment Beta

An interactive survey that guides health teams through a structured assessment of whether a proposed AI use case is ready to build.

What counts as a use case?

One specific task you would hand to an AI: one kind of input goes in, one kind of output comes out. “Suggest a cause of death from a completed verbal autopsy form” is a use case. “Modernize our health data system” is not; that's many use cases, and each one would be assessed on its own.

See quick examples
  • Suggest a cause of death from a verbal autopsy record
    completed interview form in → suggested ICD-10 code out
  • Predict which children may miss their next vaccination
    visit history in → weekly list of at-risk children out
  • Extract structured data from handwritten facility reports
    scanned page in → filled database fields out
  • Flag registry entries that may be duplicates of the same person
    two records in → same-person likelihood out
  • Draft a plain-language summary of a monthly surveillance report
    routine data tables in → draft narrative out
Sign in to beginWorks as a team: share one assessment and pick up where anyone left off.

Want to explore first? Try it without an account (nothing you enter is saved).