Revolutionizing Nursing Management with Artificial Intelligence

Abstract

The revolution of nursing management with artificial intelligence (AI) is fundamentally transforming the healthcare delivery paradigm. This article presents a proposed theoretical framework derived from an integrative literature review aimed at the effective application of AI in nursing management. The review examined 25 articles published between 2018–2024 (B.E. 2561–2567) that comprehensively covered the effective implementation of AI in nursing management through the application of the following four main theories. First, the Systems Theory and Artificial Intelligence Decision-Making Theory views nursing organizations as complex systems where AI can help analyze patient data and improve care processes, resulting in the reduction of complication rates by up to 30%. Secondly, Lewin's Change Theory, consisting of three stages —Unfreezing, Change, and Refreezing -- was applied to create an awareness of AI benefits, staff training, and establish supportive organizational policies. Studies found that using this theory increased technology implementation success rates from 40% to 75%. Thirdly, Transformational Leadership Theory emphasizes creating inspiration and intellectual stimulation. Leaders with transformational leadership capabilities can increase AI technology’s acceptance rates by more than 60%. Lastly, Strategic Management consists of five steps: environmental analysis, vision and mission setting, strategy formulation, strategy implementation, and evaluation and control. The article presents a comprehensive Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis identifying the strengths of Thai nursing organizations, such as personnel with basic technology knowledge, adequate IT infrastructure, and substantial digital patient data. Simultaneously, it highlights the weaknesses, including limited budgets, lack of direct AI expertise, and non-standardized data systems. Practical applications include Smart Patient Management systems for queue management, automated alert systems for vital sign monitoring, and using AI to predict pressure ulcer risks. For example Maharaj Nakorn Chiang Mai Hospital was able to reduce pressure ulcer incidence by 25% by applying AI to pressure ulcer risk prediction.

This article recommends that nursing administrators systematically use the 5-step strategic management framework that was developed, including performing an environmental analysis to assess readiness; establishing a clear vision; developing appropriate strategies; implementation through pilot projects; and continuous evaluation that assesses the impacts on personnel, patients, and the organization overall, to maximize sustainable AI benefits.