Elif Hanım KOCAKURT, Mahamat Zene NOUR, Buket KARATOP
Baltalimanı Dergisi - 2026;2(2):52-59
The interaction between Human Resource Management (HRM) and Artificial Intelligence (AI) in healthcare management is gaining increasing importance, directly influencing both institutional efficiency and the quality of patient care. Core HRM functions such as recruitment, performance evaluation, training, and motivation management can be planned more swiftly and accurately through AI-supported software systems. This advancement enhances the competitiveness and sustainability of healthcare organizations while also contributing to employee satisfaction. Academic studies report that predictive models based on big data analytics optimize the allocation of healthcare personnel, reduce costs, and positively impact employee engagement. Nevertheless, the ethical, legal, and institutional dimensions of AI and HRM integration must be carefully addressed. Issues such as anonymization of patient and employee data, ensuring impartiality in data processing, and the regular auditing of AI systems are of critical importance to maintain the institutional reputation of healthcare organizations. While the current literature on the integration of HRM and AI in healthcare emphasizes the positive outcomes stemming from rapid technological advancements, it also highlights the challenges employees face in adapting to new technologies and the potential issues in managerial decision-making. The aim of this study is to investigate the benefits of utilizing AI in human resources, which plays a pivotal role in healthcare services. In this context, it can be concluded that a balanced HRM-AI approach one that does not overlook the human touch and prioritizes data privacy and patient safety creates value in the healthcare sector.
