In the PULSE (Public health Use case and Learning Scaling Engine) initiative, CHAI’s leadership council will select participating entities, assign individuals to their preferred use cases, and work with Accenture experts to develop playbooks across five key use cases that will serve as best practices for other jurisdictions, CHAI said in a July 16 press release.
The five use cases are “Biosurveillance: Drug Wave Prediction,” “Social Determinants of Health (SDoH): SDoH Mapping,” “Operations and Efficiency: Community Feedback Analysis,” “Public Communications: Multilingual Translation Hub” and “Automated Clinical Data Retrieval: FHIR Query Engine,” according to the release.
“PULSE is designed to help public health agencies build trust, practical experience and a path to responsible implementation of this powerful technology,” CHAI CEO Brian Anderson, MD, said in the release. “We’re proud to provide a vehicle for these organizations to share what they learn using leading AI tools in real-world settings, facilitating adoption and helping accelerate responsible innovation that strengthens public health nationwide.”
OpenAI and Anthropic are supporting the initiative by donating 10 enterprise licenses that provide as many as 2,000 seats for public health practitioners, according to the release.
Felipe Millon, head of government go to market at OpenAI, said in the release: “By participating in this initiative through our licenses, we’re helping public health organizations evaluate these tools in a structured, responsible way with the hope that these pilots can guide broader adoption.”
Elizabeth Kelly, head of beneficial deployments at Anthropic, said in the release that PULSE “lets practitioners test these tools in their own environments, with privacy, governance and responsible use built in from the start.”
CHAI named Anderson as its first CEO and named the members of its inaugural board of directors in March 2024.
The organization released its Guidance on Responsible Use of AI in Healthcare in September, a Patient Survey Report on health AI and transparency in January, two Best Practice Guides for deploying AI in Medicaid eligibility workflows in May, and eight playbooks for streamlining AI implementation for health systems in May.
The PYMNTS Intelligence report “Financial Services Pulls Ahead in the Enterprise AI Race” found that the most common use cases for AI in healthcare are customer service chatbots, workforce planning/skills gap, model development/training, and logistics routing and delivery optimization.
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