An Intelligent Multi-Layered Statistical Prediction and Decision-Support Framework for Advanced Healthcare Data Analysis Using Hybrid Artificial Intelligence, Deep Explainable Analytics, Predictive Modeling, And Interpretable Machine Learning Techniques

Authors

  • Adeline Joy Department of Mathematics, Meenakshi Sundararajan Engineering College, Chennai, Tamil Nadu, India. Author

DOI:

https://doi.org/10.47392/IRJAEM.2026.0343

Keywords:

Artificial Intelligence, HR Decision-Making, Employee Experience, Employee Engagement, HR Analytics, Organizational Effectiveness

Abstract

The present study examines the impact of Artificial Intelligence (AI) on Human Resource (HR) decision-making and employee experience in modern organisations. The rapid integration of AI technologies into HR functions has significantly transformed traditional practices such as recruitment and selection, employee engagement, performance appraisal, training and development, workforce planning, and talent management. AI-powered tools and analytics enable organisations to process large volumes of employee data efficiently, thereby improving the quality, speed, and accuracy of managerial decision-making. The study further explores how AI contributes to enhanced employee experience by offering personalised learning opportunities, real-time feedback systems, predictive performance analysis, and improved communication mechanisms within organisations. The research is primarily based on secondary data collected from journals, research articles, industry reports, and existing literature related to AI and HR management. Observational analysis has also been incorporated to understand the practical implications of AI adoption in organisational settings. The findings reveal that AI-driven HR systems help reduce repetitive administrative tasks, minimise human error, improve operational efficiency, and support strategic HR planning. In addition, AI enhances employee engagement and satisfaction by creating more responsive and employee-centric work environments. However, the study also identifies several challenges associated with AI implementation, including algorithmic bias, data privacy concerns, ethical issues, lack of transparency, and employee resistance arising from fear of job displacement. The study concludes that a balanced integration of AI technologies with human judgement and ethical considerations can significantly improve HR effectiveness, employee trust, and sustainable organisational growth in the long run.

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Published

2026-06-13