Modernizing Public Health Surveillance for Global Health Security Leveraging AI
How modernized surveillance systems leveraging AI and data sharing can improve global public health security preparedness.
How modernized surveillance systems leveraging AI and data sharing can improve global public health security preparedness.
Randomized controlled assessment of LLM reliability as a medical assistant for general public health questions and guidance.
Study of public use of a generalist LLM chatbot for health queries: patterns, accuracy, and implications for health communication.
Statewide generative AI policy establishing governance, acceptable use, and accountability standards for all state agencies.
How explainable AI and One Health principles can be integrated to combat zoonotic diseases and cross-sector health threats.
Overview of geospatial AI and its applications in GIS for public health mapping, environmental analysis, and decision support.
4-pillar epidemic intelligence framework adding AI decision support to respiratory disease surveillance, risk evaluation, and early warning.
Gallup/West Health poll (2025): 25% of Americans use AI for health info; 59% before doctor visits, 56% after—mainly as a care supplement.
Op-ed arguing public health's real risk is AI hesitation, not adoption—urging professionals to engage and shape AI use. Forbes, 2026.
HSCC living glossary of healthcare AI terms—governance-ready definitions for clinical, operational, compliance, and technical stakeholders.
Webinar on AI applications in health policy and systems research, exploring the shift from experimentation to real-world implementation.
Blended online course from Digital Bridge giving community health workers foundational AI literacy for public health and service delivery.
Substack newsletter on AI applications in public health—policy implications and emerging tools for public health practitioners.
Washington County, OR AI acceptable use policy: guidelines for responsible generative AI use, data protection, and human review of AI outputs.
Framework for transforming public health practice with AI, covering core capabilities, governance, and equity-centered implementation.
Comparative study evaluating online health information quality using generative AI vs. traditional sources for accuracy and reliability.
ASTHO Profile data shows how public health agencies are adopting AI, revealing policy gaps, workforce challenges, and uneven use across states.
OpenAI's AI Job Transition Framework: employer and policy recommendations for supporting workers displaced or reshaped by AI.
Critical look at why evaluating AI health interventions is often inadequate and what better evaluation frameworks should require.
Ohio state policy for the use of AI in state government solutions: governance, risk management, and responsible deployment.