Effectiveness of Artificial Intelligence in Resource Management and Nursing Workflow: A Scoping Review

Abstract

Background:Artificial intelligence (AI) has become a game-changer in healthcare, particularly in two key areas: improving resource management and streamlining nursing processes. Integrating AI-driven solutions to enhance productivity and patient outcomes is becoming increasingly attractive as healthcare systems become more complicated.This Scoping review aims to evaluate the effectiveness of artificial intelligence (AI) in optimizing resource management and enhancing nursing workflow within healthcare settings
Methods:PubMed and CINAHL databases were searched, and research meeting criteria were included. Data were identified from all included articles, and themes were developed based on these data.
Results:The review's main results revealed many significant findings about the function of AI in healthcare. To begin, there is some evidence that nursing workflow and resource management might benefit from AI integration, leading to increased efficiency, better allocation of resources, and better patient care. Improved healthcare delivery is possible because AI applications may help with staffing requirements prediction, administrative load reduction, and nurses' ability to spend more time providing direct patient care.
Conclusions:The results of this scoping study show that AI technologies, like as ML and NLP, may greatly improve nursing processes and the way resources are managed. These innovations provide better patient monitoring, better clinical decision-making, more efficient use of resources, and individualized treatment programs.