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Patient Data-Sharing for AI: Ethical Challenges, Catholic Solutions.

Jean Baric-Parker1, Emily E Anderson2

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PubMed
Summary

Sharing electronic health record (EHR) data for artificial intelligence (AI) development raises ethical concerns. Updated Catholic healthcare directives and Vatican guidance are needed to address these challenges in AI collaborations.

Keywords:
Artificial intelligence (AI)Catholic health careData-sharingElectronic health records (EHR)Ethical and Religious Directives (ERDs)EthicsPatient confidentiality

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Area of Science:

  • Bioethics
  • Health Informatics
  • Artificial Intelligence Ethics

Background:

  • Healthcare systems are sharing electronic health record (EHR) data with technology companies for artificial intelligence (AI) development.
  • This practice raises significant ethical and social challenges, including patient privacy, consent, and corporate transparency issues.

Purpose of the Study:

  • To describe and analyze the ethical and social problems arising from EHR data-sharing for AI development.
  • To evaluate these issues in light of existing ethical frameworks and propose recommendations for future guidance.

Main Methods:

  • Analysis of ethical and social challenges in recent EHR data-sharing collaborations with AI companies.
  • Review of the United States Catholic Conference of Bishops' Ethical and Religious Directives (ERDs).
  • Examination of the Vatican's 2020 Rome Call to AI Ethics (RCAIE) document.

Main Results:

  • Current ERDs and HIPAA privacy rules do not adequately address novel concerns in EHR data-sharing for AI.
  • Existing principles in ERDs and RCAIE can inform future collaborations.
  • Specific ethical and social problems identified include threats to patient privacy, undermined consent, and lack of transparency.

Conclusions:

  • EHR data-sharing with AI developers presents unique ethical and social challenges.
  • Updated ERDs are necessary to directly address data-sharing and AI.
  • Guidance from RCAIE can supplement existing ethical frameworks for responsible AI development in healthcare.