Integrating Knowledge Management and AI for Optimizing Patient Care: Systematic Review

The integration of Artificial Intelligence (AI) with Knowledge Management (KM) systems has the potential to transform patient care in healthcare. AI technologies such as natural language processing, predictive analytics and machine learning enhance KM by making knowledge more accessible and actionable. These advances can improve diagnostic accuracy, enable personalized treatment plans and streamline operations. However, significant challenges remain, including data privacy, security concerns and algorithmic bias. Such issues complicate the full adoption of AI and may lead to variable patient outcomes across healthcare contexts. This systematic review examines current applications of AI-based KM in healthcare, highlights major challenges and proposes potential solutions. It underscores the need for adaptable frameworks that account for diverse healthcare environments to maximize AI’s benefits. Ethical considerations-such as transparency, fairness and patient privacy-are central to safe implementation. Overall, while AI demonstrates strong potential to improve healthcare delivery, further research is required to address its limitations and ethical concerns.