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Informed consent for artificial intelligence in emergency medicine: A practical guide.

Kenneth V Iserson1

  • 1Professor Emeritus, Department of Emergency Medicine, The University of Arizona, Tucson, AZ, 4930 N. Calle Faja, Tucson, AZ, United States of America.

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Emergency physicians need to understand AI to obtain informed consent from patients regarding its use in emergency medicine (EM). This ensures patient autonomy and ethical AI integration in healthcare.

Keywords:
Artificial intelligenceEmergency medicineEthicsInformed consent

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Area of Science:

  • Medical Ethics
  • Artificial Intelligence in Healthcare
  • Emergency Medicine

Background:

  • Artificial intelligence (AI) is increasingly used in emergency medicine (EM), presenting complex ethical and practical challenges.
  • The complexity of AI often hinders emergency physicians' (EPs) ability to secure informed consent from patients regarding AI use.
  • Rapid AI adoption, driven by electronic health record (EHR) data, outpaces evaluation of its impact on patient care.

Purpose of the Study:

  • To highlight the critical need for addressing ethical issues of AI in EM.
  • To emphasize the importance of informed consent for AI in patient evaluation and treatment.
  • To equip EPs with knowledge for navigating AI and informed consent.

Main Methods:

  • The article reviews the ethical and practical considerations of AI adoption in EM.
  • It identifies key areas EPs must understand for informed consent regarding AI.
  • It stresses the necessity of collaborative efforts between EPs, bioethicists, AI researchers, and administrators.

Main Results:

  • EPs require comprehensive knowledge of AI systems, including operation, trustworthiness, limitations, error handling, and bias.
  • Patient privacy, data security, and AI system reliability are crucial considerations for informed consent.
  • Addressing these areas is essential for ethical and effective AI integration in EM.

Conclusions:

  • EPs must be knowledgeable about AI to ensure patient autonomy and obtain valid informed consent.
  • Collaborative development and implementation of AI practices are vital for EM.
  • Ethical AI integration requires EPs to understand AI's operational, security, and bias aspects.