Artificial Intelligence in Primary Health Care Centers: Opportunities, Challenges, and Implications for Nursing Practice

Abstract

AI is heralded as a transformative force for the primary health care (PHC) sector, offering enhanced clinical decision-making, reduced administrative burden, increased patient engagement, and improved efficiency. This paper explores the opportunities, challenges, ethical issues, and impacts of AI implementation in PHC centers. Existing literature demonstrates positive impacts including improved diagnostic accuracy and precision, increased efficiency, and better patient outcomes. However, wide adoption is hindered by barriers such as data standardization and quality issues, poor organizational readiness, low physician acceptance, and the intention-implementation gap. Serious ethical issues include algorithmic bias, threats to data privacy, dehumanization of care, professional accountability concerns, and insufficient governance frameworks. For nurses, AI presents transformative opportunities, yet concerns remain regarding professional redundancy and loss of therapeutic relationships. Responsible AI implementation in PHC therefore requires nurses as equal stakeholders, with appropriate education and context-specific ethical guidelines.