Journal of Angiotherapy
Integrative Biomedical Research | Online ISSN  2207-872X
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Contents Vol 8 (8)

Revolutionizing Healthcare: The Impact of Business and HR Analytics on Hospital Management, Cost Reduction, and Fraud Prevention

Amer Hassan Mohammed Al-Shahri 1*, Ali Mesfer Alkhathami 1, Ali Jamal Faleh Al-Anzi 1, Binselm, Khalid Rashad A 1, Faleh Mohammed Al Dawsar 1, Al Duheem, Bader Sughayir D 1, Ahmad Ayad M Αναζι 1, Naif Munif Aldumayki Alotaibi 1, Saleh Helayyil Saleh Alharbi 1, Rayan Mohammed Mubarak Alotaibi 1

+ Author Affiliations

Journal of Angiotherapy 8 (8) 1-8 https://doi.org/10.25163/angiotherapy.8810216

Submitted: 30 April 2025 Revised: 13 August 2024  Published: 15 August 2024 

Abstract

Background: The healthcare sector is undergoing a revolutionary change due to the strategic application of business analytics (BA) and human resource (HR) analytics in hospital management. Business analytics enhances decision-making, reduces costs, and detects fraud; HR analytics facilitates workforce planning, optimises performance, and fosters employee engagement. These analytical methods collectively tackle significant difficulties in hospital administration by synthesising financial, operational, and human resource viewpoints. Methods: This study used a mixed-methods approach, integrating case study analysis with empirical data derived from medical records, financial audits, human resources dashboards, and administrative reports. Results: We evaluated resource allocation, fraud detection, employee attrition, absenteeism, and workforce engagement using predictive modelling, machine learning, and real-time monitoring. The analysis assesses the synergy between BA and HR Analytics in enhancing care delivery, operational efficiency, and human capital results. The findings highlight the substantial influence of incorporating business analytics and human resources analytics into healthcare systems. Business analytics facilitated the prompt identification of invoicing discrepancies, minimising inventory waste, and optimising financial processes. HR analytics concurrently facilitated the prediction of workforce requirements, mitigated fatigue, and enhanced retention and scheduling efficacy. Concurrent use of both analytics areas resulted in improved patient outcomes, greater cost savings, and heightened staff satisfaction, according to case studies from prominent healthcare organisations. Conclusion: The combined use of business and HR analytics provides a robust, data-driven framework for sustainable, efficient, and patient-centered hospital management. The strategic application of this integrated approach can transform healthcare systems to be more nimble, accountable, and resilient in response to increasing operational and workforce issues.

Keywords: Business Analytics, Healthcare Management, Cost Reduction, Fraud Prevention, Predictive Modeling.

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