These guides provide public health teams with practical, actionable frameworks to integrate generative AI, enhancing community health outcomes by addressing inefficiencies and bottlenecks. Below is an overview of three complementary guides, when to use them, and a targeted guide for identifying specific AI applications.
10 Actionable Steps for Adopting AI in Public Health Teams
Use When: Launching or scaling AI adoption during strategic planning, team training, or process improvement initiatives.
How to Apply: Follow this guide to implement AI systematically. Start by defining a measurable goal (e.g., reducing disease rates), identify bottlenecks (e.g., time spent on reports), and pilot AI tools like drafting health advisories. Use it for clear, step-by-step actions, such as setting up secure AI environments or measuring early wins, to drive immediate progress. Ideal for leadership teams or task forces initiating AI projects.
10 Actionable Principles for AI Adoption in Public Health Teams
Use When: Fostering a cultural shift or building AI fluency during onboarding, team retreats, or performance reviews.
How to Apply: Use this guide to cultivate an AI-first mindset and collaboration skills. Train staff to reframe tasks with AI (e.g., "How can AI assist in outbreak analysis?") and reward curiosity through recognition programs. It’s perfect for sustaining long-term AI integration across roles like epidemiologists, communicators, or administrative staff.
A Simple Guide to Identifying Where to Apply AI
Use When: Pinpointing specific AI applications to address identified bottlenecks, such as during workflow audits or brainstorming sessions.
How to Apply: Reference this guide to match AI solutions to constraints like Time and Attention (e.g., AI-drafted grant proposals), Information Synthesis (e.g., summarizing research papers), or Content Creation (e.g., multi-lingual health advisories). Use it to generate ideas for pilot projects or to tailor AI tools to specific public health tasks, ensuring alignment with your team’s goals.
For a comprehensive strategy, combine the guides:
Review and adapt these guides quarterly to align with evolving public health priorities, such as new disease outbreaks or policy changes. Regular feedback loops, like staff surveys or performance metrics, will help measure progress and refine AI adoption to maximize impact on community health outcomes.
Top 10 Tips and Tricks for Using AI in a Public Health
A Simple Guide to Identifying Where to Apply AI