Artificial Intelligence (AI) has caused massive changes in nature of workplaces in healthcare sector. Employee Performance Management (EPM) systems are undergoing a pivotal shift from annual manual data collection of personnel, characterized by subjective, bureaucratic, and demotivating methods into more agile human research operations. Modern methodological assessment emphasizes the importance of recording individual contribution in various areas, assessing not only the fulfillment and quality of assignments, but also aspects such as collaboration, creativity, innovative behavior and professional growth. The delivery of high-quality healthcare depends essentially on the effective functioning of personnel, who are the vital resource for maintaining reputation, fostering a culture of continuous improvement, and ensuring the overall effective operation of the healthcare sector. This scoping review adhered to the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines and encompassed 29 peer-reviewed empirical studies published from 2020 to 2025. AI-powered EPM platforms result in considerable improvements in efficiency, including increased frequent feedback, heightened employee engagement, identification of potential leaders and significant time savings for managers. Additionally, predictive analytics are vital in orchestrating healthcare organizations’ strategic and operational activities, assessing labor shortages, optimizing operations and managing high rates of burnout. Nevertheless, despite the acknowledged advantages of AI, there remain notable challenges to its implementation, including concerns about algorithmic bias, privacy, transparency, job displacement, organizational culture, and issues related to ethical and legal oversight. The analysis underscores the multidimensional nature of AI implementation in human resource management and how AI-driven EPM systems, mark a significant advance in accessing real-time performance data and provide considerable progression when utilized within appropriate guidelines. The successful integration of these systems relies on the synergy between AI technologies and human judgment, allowing healthcare organizations to cultivate a more dynamic, innovative and responsive workforce.
Karaferis et al. (Tue,) studied this question.