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Advancing primary care with Artificial Intelligence and Machine Learning.

Zhou Yang1, Christina Silcox2, Mark Sendak3

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Summary
This summary is machine-generated.

Primary care can guide Artificial Intelligence and Machine Learning (AI/ML) integration. This roadmap outlines five key domains for developing and implementing AI/ML tools to transform healthcare delivery and achieve the Quintuple Aims.

Keywords:
AI/MLPCPPopulation healthPrimary care

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Area of Science:

  • Healthcare delivery innovation
  • Clinical informatics
  • Artificial Intelligence in Medicine

Background:

  • Primary care serves as the largest healthcare platform in the United States.
  • The healthcare sector is undergoing a significant transformation driven by Artificial Intelligence and Machine Learning (AI/ML).
  • A strategic framework is needed to guide AI/ML integration within primary care settings.

Purpose of the Study:

  • To present a framework for integrating AI/ML into primary care.
  • To identify priority areas and opportunities for AI/ML development and implementation.
  • To support the transformation of care delivery and achieve the Quintuple Aims.

Main Methods:

  • Development of a conceptual framework.
  • Identification of five key domains for AI/ML integration.
  • Literature review and synthesis of current trends in AI/ML and primary care.

Main Results:

  • A framework with five domains for AI/ML integration in primary care is proposed.
  • The framework aims to enhance care delivery and support the Quintuple Aims.
  • Primary care's crucial role in the AI/ML lifecycle is highlighted.

Conclusions:

  • Primary care is essential for the successful development, introduction, implementation, and monitoring of AI/ML tools.
  • AI/ML integration in primary care requires a strategic and domain-specific approach.
  • The primary care sector must be actively involved to ensure AI/ML effectively transforms healthcare.