Abstract:
We are living in a new era of technology in which artificial intelligence (AI) is becoming increasingly prevalent in as many sectors of activity as possible. Artificial intelligence is predicted to transform human resource management by automating processes of recruitment, evaluation and development of employees as well as managerial decision-making. One of the most demanding sectors of activity that presents a high degree of interest for every person is health. Human resource management has a crucial role in terms of the quality of services provided by medical personnel. Sustainable human resource management is increasingly recognized as a key driver in achieving organizational sustainability goals. The purpose of this study is to analyze the way in which the implementation of artificial intelligence in human resource management in the health sectors can influence patients’ satisfaction. The results of this study indicated significant correlations between human resources efficiency and employee performance monitoring, employee skill development, the monitoring of physicians’ role and behavior, and the patient satisfaction evaluation system. These findings highlight that the implementation of AI in the various work structures of human resource management can increase the efficiency of employees and implicitly, the patients’ satisfaction. This study lays the groundwork for future explorations into the synergistic relationship between human resource management and AI in enhancing patient satisfaction. By identifying key factors and outcomes, it paves the way for future research that can deliver actionable recommendations for healthcare organizations seeking to leverage AI in their human resource management practices, ultimately contributing to improved patient care and satisfaction levels. UDC: 005.96+[004.8:614.253.8]; JEL: M12, O15
Description:
PETRE, Alina-Georgiana. Study of Human Resource Management and the Role of Artificial Intelligence in Patients’ Satisfaction. Online. In: Sustainability and Economic Resilience in the Context of Global Systemic Transformations: International Scientific and Practical Conference: Proceedings, 4th Edition, March 27-28, 2025. Chişinău: [S. n.], 2025 (SEP ASEM), pp. 97-106. ISBN 978-9975-168-27-4. Disponibil: https://doi.org/10.53486/ser2025.10