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AI In Health: Policy Principles.pdf

Policy-Principles-for-AI.pdf
Preview of AI in Health: Policy Principles
🔗 Source: connectedhi.com
📊 Size: 828 KB
📄 Pages: 6 pages
⬇️ Downloads: 177

Summary

- Location: 1401 K Street NW, Suite 501, Washington, DC 20005; Phone: 202.331.2130; Website: connectedhi.com; Twitter: @ConnectedHealthInitiative
- Initiative: Connected Health Initiative (CHI) Health AI Task Force
- Purpose: To guide policymakers on AI in healthcare, ensuring it advances the "quadruple aim" (improving population health, patient outcomes, value, and clinician well-being)
- Key Principles:
- National Health AI Strategy: Develop a federal strategy to coordinate changes and achieve AI's promise.
- Research: Support and facilitate AI development, prioritize clinical validation, and promote the medical commons.
- Quality Assurance and Oversight: Utilize risk-based approaches, ensure safety, efficacy, and equity, and establish clear liability distribution.
- Thoughtful Design: Incorporate real-world workflow, human-centered design, and end-user needs.
- Access and Affordability: Ensure accessibility and affordability, invest in infrastructure, and incentivize AI adoption.
- Ethics: Align AI with medical ethics, develop new guidelines as needed, ensure consistency with human rights, and promote inclusivity.

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  • File Format: PDF
  • File Size: 828 KB
  • Pages: 6
  • Language: EN
  • Total Downloads: 177
  • Last Updated: 1 week ago

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