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Artificial intelligence in healthcare and its implications for patient centered care

Emmanuel Kumah

2025Discover Public Health15 citationsDOIOpen Access PDF

Abstract

The integration of artificial intelligence (AI) in healthcare has transformed medical practice by improving diagnostic accuracy, treatment planning, and operational efficiency. However, as AI becomes more prevalent, its impact on patient-centered care—the core of healthcare—requires careful consideration. This paper explores the opportunities and challenges AI presents in maintaining patient-centered care principles such as collaboration, personalization, and respect for patient preferences. While AI can enhance healthcare delivery by freeing up time for more empathetic patient interactions and enabling personalized treatments, concerns about dehumanization, data transparency, and trust remain. A balanced approach, where AI supports but does not replace human expertise, is essential to ensure that AI complements patient-centered care rather than undermine it. Addressing these challenges requires collaboration between healthcare providers, AI developers, and policymakers to safeguard the core values of patient-centered care.

Topics & Concepts

Health careApplications of artificial intelligencePatient-centered careCore (optical fiber)Healthcare deliveryKnowledge managementArtificial intelligenceNursingPatient careCore competencyMedicineHealthcare systemPsychologyMEDLINEComputer scienceBusinessEngineering ethicsBest practiceClinical PracticeMedical practiceBig dataArtificial Intelligence in Healthcare and EducationArtificial Intelligence in HealthcareCOVID-19 diagnosis using AI
Artificial intelligence in healthcare and its implications for patient centered care | Litcius