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Related Concept Videos

Ethical Issues01:27

Ethical Issues

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Nurses are essential in patient care, upholding the ethical principles of their profession and effectively navigating ethical dilemmas. Neglecting ethical issues can lead to inadequate patient care, compromised therapeutic relationships, and moral distress among healthcare workers.
Ethical Concerns in Healthcare:
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Ethical Dilemmas I01:17

Ethical Dilemmas I

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Ethical dilemmas in nursing are of utmost importance, as they often arise from the tension between adhering to core ethical principles and the practical realities of healthcare delivery. These dilemmas require nurses to navigate complex situations where competing ethical considerations pull them in different directions.
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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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Ethics and Bioethics01:22

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Ethics is a philosophical study of moral actions. Ethics attempts to determine what is valuable for individuals and society. It examines the rational justification of moral judgments and analyzes what is morally just, fair, and right. Bioethics is a sub-discipline of applied ethics that analyzes the philosophical, social, and legal issues in life sciences and medicine. Ethical theories serve as a foundation for decision-making and represent the viewpoints from which people seek direction. They...
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Ethics in Research01:56

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Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.
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Ethical Dilemmas II01:30

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Resolving an ethical dilemma in healthcare involves a systematic approach that considers every aspect of the issue, respecting both the patient's needs and values and the healthcare professional's ethical obligations. Here are potential steps to resolve an ethical dilemma:
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Physicians' and Machine Learning Researchers' Perspectives on Ethical Issues in the Early Development of Clinical

Jane Paik Kim1, Katie Ryan1, Max Kasun1

  • 1Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Palo Alto, CA, United States.

JMIR AI
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Summary

Artificial intelligence (AI) and machine learning (ML) in medicine raise ethical concerns. Researchers and physicians highlight issues in AI development, emphasizing interdisciplinary collaboration and diverse teams for ethical medical AI.

Keywords:
artificial intelligenceethicethicalethical considerationsethicsmachine learningperspectivequalitativequalitative study

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Area of Science:

  • Medical Artificial Intelligence (AI)
  • Machine Learning (ML) in Healthcare
  • Clinical Ethics

Background:

  • Rapid advancement of AI and ML tools in medicine for prediction, diagnosis, and treatment.
  • Scarcity of research on ethical guidance derived from AI/ML researcher and physician perspectives.

Purpose of the Study:

  • To qualitatively explore ethical issues in medical AI/ML development and use.
  • To capture the observed and anticipated ethical concerns of AI/ML researchers and physicians.

Main Methods:

  • Conducted 21 semistructured interviews with AI/ML researchers (n=10) and physicians (n=11).
  • Employed purposeful sampling and qualitative content analysis of transcribed, deidentified interviews.
  • Focused on participants' views regarding ethical considerations in medical AI/ML adoption.

Main Results:

  • Concerns identified regarding the problem formulation stage of AI/ML innovation.
  • Key issues include research priorities, clinical needs alignment, team diversity, and interdisciplinary collaboration.
  • Phase-1 ethical challenges are interdisciplinary, requiring alignment of values and ensuring clinical value.

Conclusions:

  • Qualitative findings illuminate ethical challenges in healthcare AI/ML.
  • Study uniquely allowed open exploration of perspectives without implicit assumptions.
  • Acknowledges limitations including exclusion of patient and other stakeholder views; calls for further research.