Public health departments across the United States will test generative AI tools under a new programme involving the Coalition for Health AI, OpenAI, Anthropic, and Accenture.
The Public Health Use Case and Learning Scaling Engine, known as PULSE, will support trials in 10 state, local, tribal, or territorial jurisdictions. The programme is intended to produce implementation guidance for public health agencies considering similar deployments.
OpenAI and Anthropic have donated 10 enterprise licences with capacity for up to 2,000 public health practitioners. Accenture will oversee participant onboarding and help develop playbooks based on the trials.
The programme will give public health practitioners access to enterprise AI products from OpenAI and Anthropic. CHAI has not identified the products, model versions, or configurations that will be used, or explained how the two providers will be assigned across the pilots.
“Every major technological transformation succeeds or fails based on trust, governance and execution,” Dr. David Lakey, a former Texas health commissioner, said. “PULSE will support agencies in this endeavour, and is specifically designed for practical implementation.”
Five public health use cases
The Coalition for Health AI’s leadership council will select the participating jurisdictions and assign practitioners to communities focused on five use cases. These include biosurveillance and drug-wave prediction, social determinants of health and SDoH mapping, operations and efficiency and community-feedback analysis, public communications and a multilingual translation hub, and automated clinical-data retrieval and a FHIR query engine.
NIST’s AI Risk Management Framework recommends evaluating AI systems according to their intended use, operating environment, affected parties, and potential consequences. CHAI has not published separate evaluation, privacy, security, or human-review requirements for the five PULSE use cases.
FHIR is an HL7 standard used to exchange healthcare information electronically between compatible systems.
PULSE includes an automated clinical-data retrieval and FHIR query engine, although the announcement does not define the role of generative AI in that workflow. It does not state whether the models will generate queries, retrieve records, summarise returned information, or combine those functions.
The announcement also does not explain whether incorrect queries, incomplete retrievals, or unsupported summaries will be checked by staff before the information is used.
Some proposed applications could involve demographic, geographic, clinical, or population-health information. CHAI has not said whether the pilots will use identifiable records, de-identified information, synthetic data, or aggregated datasets.
The US Department of Health and Human Services requires organisations covered by HIPAA to protect certain electronic health information. Its cloud-computing guidance states that regulated organisations and…
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