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A Comprehensive Approach to Responsible AI Development and Deployment.

Sonya Makhni1, Jose Rico2, Paul Cerrato2

  • 1Department of Hospital Internal Medicine, Mayo Clinic Rochester, Mayo Clinic Platform, Rochester, MN.

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Summary
This summary is machine-generated.

This paper introduces a new framework for responsible artificial intelligence (AI) in healthcare. It addresses safety, efficacy, and equity concerns to improve patient outcomes and efficiency.

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Area of Science:

  • Health Informatics
  • Artificial Intelligence
  • Medical Ethics

Background:

  • Artificial intelligence (AI) integration in healthcare presents opportunities to solve challenges in care access, workforce burnout, and health inequities.
  • However, AI adoption is hindered by significant concerns regarding safety, efficacy, and equity.

Purpose of the Study:

  • To present a novel, comprehensive framework for the responsible development, evaluation, and deployment of AI in healthcare.
  • To guide AI developers and healthcare professionals in creating ethical, effective, and scalable AI solutions.

Main Methods:

  • The proposed framework consists of four key phases: AI Solution Design and Development, AI Solution Qualification, AI Solution Efficacy and Safety Evaluation, and AI Solution Impact.
  • It establishes rigorous standards for operational, clinical, and technical quality.

Main Results:

  • The framework provides a structured approach to mitigate risks associated with AI in healthcare.
  • It aims to foster collaboration between AI developers and healthcare professionals.

Conclusions:

  • Implementing this framework can help AI achieve its full potential in enhancing patient outcomes and healthcare efficiency.
  • This structured approach is crucial for ensuring the ethical and effective use of AI in medical settings.