Public health departments across the United States are about to get a major technology upgrade. A new program called PULSE (Public Health Use Case and Learning Scaling Engine) will let government health agencies test AI tools from OpenAI (the makers of ChatGPT) and Anthropic (the makers of Claude).
This is a big deal. It could change how public health works in America. Here is a simple breakdown of what is happening.
Who Is Involved?
Several organizations are working together on this program:
- The Coalition for Health AI (CHAI): A group that helps make sure AI is used safely in healthcare
- OpenAI: The company behind ChatGPT
- Anthropic: The company behind Claude AI
- Accenture: A large consulting company that will help manage the program
OpenAI and Anthropic have donated 10 enterprise licenses — fancy professional accounts — that can serve up to 2,000 public health workers. That means the agencies do not have to pay for the AI tools during the trial.
What Will the AI Actually Do?
The program focuses on five main uses for AI in public health:
- Disease Tracking and Drug-Wave Prediction: AI can help spot disease outbreaks early and predict waves of drug use in communities. Think of it as an early warning system.
- Social Determinants of Health Mapping: This means understanding how things like income, housing, and education affect people's health. AI can find patterns that humans might miss.
- Operations and Feedback Analysis: AI can help health departments run more smoothly and analyze feedback from the public.
- Multilingual Translation: Many Americans speak languages other than English. AI can translate health information so everyone can understand it.
- Clinical Data Retrieval: AI can help doctors and nurses find medical records faster using a system called FHIR (a standard way to share health data electronically).
When Does It Start?
The pilot programs are scheduled to begin in autumn 2026. CHAI expects to release detailed "playbooks" — step-by-step guides — in 2027 so other health agencies can learn from what works.
Is My Health Data Safe?
This is the question on everyone's mind, and it is a fair one. Here is what we know:
- HIPAA Rules Apply: The Health Insurance Portability and Accountability Act (HIPAA) is a US law that protects health information. Any AI system handling protected health data must follow these rules.
- No Training on Your Data: Both OpenAI and Anthropic say they do not use data from their business products to train their AI models. So your health information should not end up making the AI smarter.
- But Questions Remain: The announcement does not spell out every detail. It does not say exactly how long data will be stored, who can access it, or how AI outputs will be checked by humans before use.
Health experts say this is the key challenge. AI should be brought in with care and the right guardrails, as one Anthropic leader put it.
Why Public Health Needs AI
Here is the reality: public health teams are stretched thin. According to data cited by CHAI:
- Nearly 40% of local health departments are not using AI at all
- Many departments want to improve efficiency but lack resources
- Health workers are being asked to do more with less
AI could help by automating boring tasks, translating languages instantly, and spotting patterns in large amounts of data. This would free up human workers to focus on what they do best — caring for people.
What Are the Risks?
No technology is perfect, and AI in healthcare comes with real concerns:
- Accuracy: AI can sometimes make mistakes or "hallucinate" (make things up). In healthcare, a mistake could be dangerous.
- Privacy: Health data is some of the most sensitive information about a person. It must be protected.
- Fairness: AI systems can have biases. If the AI was trained mostly on data from one group, it might work less well for others.
- Human Oversight: The big question is whether humans will always check the AI's work before acting on it.
What This Means for You
If you live in the United States, this program could eventually affect how your local health department works:
- Faster outbreak detection could mean earlier warnings about diseases in your area
- Better translations could mean health information in your language
- More efficient services could mean shorter wait times and better responses
But it also means we all need to pay attention to how AI is used with our health data. The goal is a healthcare system that is smarter, faster, and fairer — but only if it is done right.
The PULSE program is a test. If it works well, it could become a model for the entire country. If it reveals problems, we will learn what to fix before AI spreads further into healthcare.
Either way, the future of public health will include AI. The question is how we make sure it helps everyone equally.
