Innovative digital platforms in the human resources management of medical institutions

The study aimed to analyse the effectiveness of integrating digital technologies into the human resources management of medical institutions under conditions of dynamic workload. The methodology included a three- institution quasi-experiment with the implementation of iStaff Scheduler, ShiftMaster Pro, Systems, Applications, and Products in Data Processing SuccessFactors, MedLearn App, and Feedback360 platforms during 2024. Artificial intelligence algorithms, Student’s t-test, analysis of variance (ANOVA), logistic regression, and weekly digital surveys based on the Likert scale were used. The results showed a 26% increase in the accuracy of shift distribution, a 43.3% reduction in the time required to manually correct schedules, and a 47.2% reduction in the number of conflicts in schedules. The study also recorded a 31.5% reduction in overtime workload, a 42.1% reduction in downtime due to staff shortages, and a 36.2% reduction in the adaptation period for new employees. The number of calls to the human resources department decreased by 27.8%, which demonstrates the effectiveness of decentralised digital services. According to the results of digital surveys, the level of professional engagement increased by 22.3%, readiness for change by 24.6%, and independence by 27.8%, and the emotional burnout index decreased by 19.1%. The study found that employees who actively used mobile applications, in particular MedLearn App, had higher satisfaction with working conditions (OR = 2.31, p