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NEW White Paper Released | Generative AI for Health in LMICs


 

The is thrilled to announce the release of ’s new white paper, , with support from the !

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From August to December 2024, Stanford CDH conducted an extensive review including two roundtable events, in-depth interviews with dozens of people who are actively working on applications of GenAI to health and healthcare in LMICs (including academics, health system leaders, implementers, and funders), and a quantitative survey with over 100 respondents. Additionally, the research team reviewed 14 GenAI accelerator programs for health that have collectively supported over 250 projects worldwide.

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The white paper has a specific focus on the use of GenAI tools to drive health-related behavior change, and highlights case studies from Audere, Girl Effect, Jacaranda Health, Noora Health, and Viamo. The scoping analysis, framework, and key recommendations are inclusive of a range of health use cases, to contextualize HBC interventions within the wider ecosystem, and facilitate broadly applicable learnings. It explores the questions:

  • Where is GenAI being used and what are the greatest successes?
  • How can we realize greater impact and unlock the full potential of GenAI, both for behavior change and broader healthcare applications?

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The top five key recommendations of the report:

  1. Sharing Learnings
  2. Focus on Actionable Measurement
  3. Improve Language and Localization
  4. Improve Technical Capacity & Shared Infrastructure
  5. Improve Digital & Basic Health Infrastructure

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We encourage you to explore the findings and share your thoughts on how your organization will incorporate the recommendations articulated in the white paper!

  • View and download the paper .
  • Watch the recording of the white paper’s launch event held on March 26 .
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