Psychological impact of ai in the automation of clinical decision-making
DOI:
https://doi.org/10.56294/saludcyt20251586Keywords:
Artificial intelligence, Clinical decision-making, Psychological impact, Healthcare ethics, Human-AI collaborationAbstract
Introduction: The integration of artificial intelligence (AI) into clinical decision-making is revolutionizing healthcare by enhancing diagnostic precision, streamlining workflows, and enabling personalized patient care. Despite these advancements, the psychological impact of AI adoption on healthcare professionals and patients requires critical attention. Understanding AI’s dual influence is essential to balance its potential for improved healthcare outcomes with challenges related to trust, acceptance, and ethical considerations.
Development: AI adoption in healthcare presents significant psychological challenges for both clinicians and patients. For clinicians, concerns about job security, increased cognitive workload, and role conflicts are prevalent. The opaque nature of algorithmic decision-making often leads to skepticism and anxiety, reducing trust in AI systems. Patients face fears of depersonalized care and doubts regarding the reliability of AI-driven recommendations, which can erode their confidence in healthcare services. These challenges are further complicated by ethical issues such as transparency, accountability, and biases in AI models. Strategies to address these impacts include the adoption of explainable AI (XAI) to enhance transparency, targeted training programs for clinicians and patients, and the establishment of ethical frameworks to improve accountability and fairness. Moreover, designing empathetic AI systems and redefining clinician roles within an AI-integrated healthcare landscape are vital to fostering trust and acceptance.
Conclusions: Addressing the psychological dimensions of AI integration is crucial for its ethical and effective implementation in healthcare. Future directions should focus on advancing research to study longitudinal psychological effects, promoting empathetic AI design, and enhancing collaboration between AI and human professionals. By mitigating psychological and ethical concerns, AI can achieve its full potential to transform healthcare and deliver improved outcomes for all stakeholders.
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Copyright (c) 2025 Diana Catalina Velastegui-Hernandez, Luis Felipe Contreras-Vásquez, Gabriela Sandoval, Andrea Alexandra Tufiño-Aguilar, Andrea Carolina Cevallos-Teneda, Estefania Araceli Reyes-Rosero, Verónica Gabriela Salinas-Velastegui, Rita Elizabeth Velastegui-Hernández, Fabricio Alejandro Vasquez de la Bandera, Luis Fabián Salazar-Garcés (Author)
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