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The purpose of this study was to determine whether employee productivity affects the job desk. To determine whether the work system affects the job desk through employee productivity as an intervening variable. To determine whether work procedures affect job desks through employee productivity as an intervening variable. The research methodology was carried out using quantitative research with 33 respondents of PT Hear Life Medan employees.  From the results of hypothesis testing that has been done, H0 is rejected and Ha is accepted. This shows that the work system, work procedures and job descriptions have a significant influence on employee productivity The effect of the work system on employee productivity can be seen from the coefficient of determination (R2). Based on the calculation results, the R2 value is 0.775. This means that the work system only provides an influence of 75.5% on employee productivity, while the remaining 24.5% is influenced by other factors.

The growth of artificial intelligence (AI) in healthcare is causing big shifts in management roles and how ready organizations are, especially in private hospitals. In Medan City, rising competition, a small healthcare workforce, and strict accreditation requirements all make it even more important to use digital technology to make operations more efficient. This study seeks to examine the impact of AI on organizational readiness, utilizing management performance as a mediating variable. Quantitative approaches were employed via a survey of managers and administrative personnel at private hospitals, and the data were analyzed using path analysis with SPSS. The findings indicate that AI exerts a favorable and considerable influence on management performance, which in turn directly enhances organizational readiness. Additionally, managerial performance has been demonstrated to mediate the relationship between AI and organizational readiness. These findings address a research gap concerning the mechanisms of AI's role in the managerial context of hospitals in developing countries and offer practical implications for fortifying digital strategies, cultivating human resource competencies, and augmenting organizational capabilities in response to technology-driven healthcare transformation.

The main objective of this research is to determine the direct influence of career adaptability and perceived organizational support on employee performance. The population and sample in this study were 120 permanent employees of the Royal Prima Medan Hospital. This type of research is quantitative. Data was obtained from distributing questionnaires. Data analysis uses Smart Pls, where it is hoped that the results of this research will be able to predict employee performance. The research results show that career adaptability and perceived organizational support directly affect employee performance. Then, perceived organizational support is assessed as the most dominant variable in influencing employee performance.

This study wants to explain in detail the influence of motivation, compensation and service on employee productivity. Collecting data in this study using quantitative methods. Processing data using a purposive sampling technique. As for the research sample, namely employees who work at PT Inalum. The results of the study show that by providing great motivation to employees, employee performance is considered to be more productive. Compensation is also essential in increasing employees' morale at PT Inalum. By providing payment to employees, employees will be more diligent in carrying out their respective duties, likewise with training which has a vital role in honing every employee's abilities at PT Inalum. It can be concluded that motivation, compensation and training greatly influence employee work productivity.