The Role of Artificial Intelligence in Healthcare Business Analytics: A Study of Current Applications and Future Opportunities.

Artificial Intelligence (AI) has become a transformative force in healthcare business analytics, offering advanced capabilities for data processing, decision-making, and predictive modelling. This conceptual paper explores the integration of AI technologies into healthcare analytics frameworks to enhance operational efficiency, patient outcomes, and strategic decision-making. It outlines the current applications of AI in areas such as hospital resource management, predictive diagnosis, fraud detection, and personalized treatment planning. Furthermore, the study identifies emerging opportunities and ethical challenges related to AI deployment, including data privacy, algorithmic bias, and regulatory compliance. Drawing upon literature from healthcare management, information systems, and AI ethics, the paper provides a conceptual framework to guide future research and practical implementation strategies in healthcare analytics. By identifying key trends and gaps, this study contributes to the evolving discourse on digital transformation in the healthcare business landscape.

Authors

Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2025-07-26
DOI
https://doi.org/10.36948/ijfmr.2025.v07i04.52246
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
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article

The Role of Artificial Intelligence in Healthcare Business Analytics: A Study of Current Applications and Future Opportunities.

Lohith Kumar Deshpande, Venkataramana Chowdary Vemana
International Journal For Multidisciplinary Research
Artificial Intelligence in Healthcare
article

The Role of Artificial Intelligence in Healthcare Business Analytics: A Study of Current Applications and Future Opportunities.

Lohith Kumar Deshpande, Venkataramana Chowdary Vemana
article en

Abstract

Artificial Intelligence (AI) has become a transformative force in healthcare business analytics, offering advanced capabilities for data processing, decision-making, and predictive modelling. This conceptual paper explores the integration of AI technologies into healthcare analytics frameworks to enhance operational efficiency, patient outcomes, and strategic decision-making. It outlines the current applications of AI in areas such as hospital resource management, predictive diagnosis, fraud detection, and personalized treatment planning. Furthermore, the study identifies emerging opportunities and ethical challenges related to AI deployment, including data privacy, algorithmic bias, and regulatory compliance. Drawing upon literature from healthcare management, information systems, and AI ethics, the paper provides a conceptual framework to guide future research and practical implementation strategies in healthcare analytics. By identifying key trends and gaps, this study contributes to the evolving discourse on digital transformation in the healthcare business landscape.

International Journal For Multidisciplinary ResearchVol. 7(4)
Openalex Percentile: Top 78%
Artificial Intelligence in Healthcare
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