Avarynth Program, in development
AI and Digital Health Implementation for Public Health
An implementation-focused program on selecting, integrating, and governing AI and digital health tools within public health programs, including feasibility, scalability, and responsible use.
- Learning area
- AI & Digital Health
- Provider
- Avarynth Learning Institute
- Dates, duration and fee
- Details coming soon
This program is in development and is not yet open for participation. Program details will be published here as they are confirmed.
The need this program addresses
The gap between AI and digital health innovation and real-world implementation in public health programs continues to widen, particularly where resources are shrinking. Practitioners are increasingly aware of AI applications but often lack practical understanding of how to integrate these tools into existing health systems, and of when AI adds value compared with simpler solutions. Skills in ethics, data privacy and protection, bias mitigation, and security governance remain in short supply, especially in resource-constrained settings.
What participants will be able to do
- Evaluate the appropriateness and added value of AI and digital health tools within public health programs, applying diffusion of innovation principles and structured decision-making criteria.
- Apply implementation science frameworks, including CFIR and RE-AIM, to assess feasibility, fit, and scalability in diverse and resource-constrained settings.
- Identify risks related to bias, inequity, data privacy, and security, and apply practical data governance and ethical safeguards to mitigate them.
Themes
What the program covers.
- Implementation frameworks for digital health
- Responsible and ethical use of AI
- Feasibility and scalability assessment
- Privacy, security, and data governance
- Bias and inequity risk mitigation
Who this program is for
- Digital health leads
- Implementation science practitioners
- Clinical and community health leaders working with digital tools in service delivery
How the learning is delivered
- Case-based learning and simulations
- Hands-on exercises applying frameworks to participants' own settings
- Small group activities with targeted feedback
Next Step
Follow this program as it develops.
Scheduling, format, and participation details will be published here once confirmed.