The self-fulfilling prophecy in medicine

Area of Science:

• Medical Ethics
• Epistemology in Medicine
• Health Informatics

Background:

• Self-fulfilling prophecies are defined by four conditions: credibility, employment, employment sensitivity, and realization.
• These prophecies can be collective and have significant ethical and epistemic ramifications in medicine.

Purpose of the Study:

• To describe the mechanism and conditions of self-fulfilling prophecies in medicine.
• To discuss the moral relevance and implications of both transformative and operative self-fulfillment in healthcare.
• To highlight the need for attention to self-fulfilling feedback loops with the rise of AI in diagnostics and prognostics.

Main Methods:

• Descriptive analysis of the four conditions of self-fulfilling prophecies with medical examples.
• Normative ethical discussion on the moral relevance of self-fulfilling prophecies in clinical practice and research.
• Analysis of the impact of self-fulfilling prophecies on error detection and learning in medicine.

Main Results:

• Self-fulfilling prophecies, both transformative and operative, pose ethical and epistemic challenges by obscuring mistakes and inhibiting learning.
• The accuracy of a prediction, even if self-fulfilled, can mask underlying errors, preventing quality assurance.
• The increasing use of AI and machine learning in healthcare necessitates a critical examination of self-fulfilling feedback loops.

Conclusions:

• Understanding self-fulfilling prophecies is vital for medical researchers and practitioners to detect and analyze potential self-fulfilling mechanisms.
• Addressing these mechanisms is essential for upholding ethical standards and improving epistemic reliability in medical decision-making.
• Proactive analysis of self-fulfilling prophecies can prevent the exacerbation of mistakes and enhance the quality of medical care.