Application of Lean Office and Artificial Intelligence to optimize hospital management for improving Efficiency and Quality of services in Peru

Abstract

The present study proposes the combination of lean office and artificial intelligence to improve the quality and efficiency in the management of public hospitals in Peru. By combining Lean Office and Artificial Intelligence in hospital management, the aim is to improve both the efficiency and quality of the services provided. This involves identifying and eliminating inefficiencies in administrative and clinical processes, automating routine tasks, optimizing resources, and making better informed decisions through data analysis. The objective of this research is to optimize administrative and operational management by providing a better quality of service to the user. Through the elimination of waste, the automation of processes and data analysis, with the implementation of Lean Office and Artificial Intelligence (AI) in the management of public hospitals in Peru. This research will be carried out, with the aim of not only summarizing the existing research on the topic, but also to include an element of critical analysis, which is based on the PRISMA methodology, for the article was used, data collection and the analysis of case studies such as GOOGLE ACADEMIC, SCIELO, SPRINGER LINK, REDALYC and PROQUEST. Using rigorous and delimiting guidelines where journals from the year 2017-2023 were used, the searches were carried out in Spanish as well as in English. This research shows that the combination of Lean Office and Artificial Intelligence can reduce costs and optimize processes, making it an effective strategy to address the existing challenges in Peru's public hospitals, potentially resulting in more efficient and higher-quality healthcare for patients.