The issue of strategic decision making in the healthcare sector has grown more complicated with healthcare providers struggling to balance their patient outcomes management with the growing operational and financial demands. However, the conventional decision-making processes that are usually founded on ex-post reviews and intuition fail to work well in the workplace where uncertainty, risk and multidimensional stakeholder requirements are prevalent. This paper will focus on how the use of modern business analytics methods, including predictive modeling, machine learning models, and artificial intelligence (AI)-driven models, will be utilized to reinforce healthcare decision-making. The paper utilizes a data-driven approach to review the effect of analytics-based strategies on increasing accuracy, timeliness, and alignment of decisions made by the stakeholders in terms of resource allocation, patient safety, and financial management use based on real-world evidence of hospital systems and secondary databases. As the results show, AI-assisted analytics are effective not only to enhance predictive accuracy of clinical and operational risks but also to implement more transparent and evidence-based strategies to balance patient-centered and organizational performance. Additionally, the research points out the importance of stakeholder-based models that are aided by business analytics to lessen uncertainties, systemic risks, and deliver effective healthcare. Combining decision-making theory and the practical implementation of AI and analytics, the study can give a structure that will be followed by the healthcare leaders to achieve agility in the strategic domain, increase the level of trust among the involved parties, and become resilient in the long run. This work is novel because it combines both decision science and AI-driven analytics to tackle clinical and managerial needs and provide policy, practice, and future research recommendations that can be implemented across the healthcare systems of the world.

Healthcare, Business Analytics, Strategic Decision-Making, Artificial Intelligence

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Iqbal Ansari, Kazi Sanwarul Azim, Kiran Bhujel, Suresh Shivram Panchal, & Yogesh Sharad Ahirrao. (2025). Fintech Innovation And IT Infrastructure: Business Implications For Financial Inclusion And Digital Payment Systems. The American Journal of Engineering and Technology, 7(09), 49–73. https://doi.org/10.37547/tajet/Volume07Issue09-05.

Asif Syed, Iqbal Ansari, Kiran Bhujel, Yogesh Sharad Ahirrao, Suresh Shivram Panchal, & Yaseen Shareef Mohammed. (2025). Blockchain Integration In Business Finance: Enhancing Transparency, Efficiency, And Trust In Financial Ecosystems. The American Journal of Engineering and Technology, 7(09), 74–99. https://doi.org/10.37547/tajet/Volume07Issue09-06.

Kiran Bhujel, Iqbal Ansari, Kazi Sanwarul Azim, Suresh Shivram Panchal, & Yogesh Sharad Ahirrao. (2025). Digital Transformation In Corporate Finance: The Strategic Role Of IT In Driving Business Value. The American Journal of Engineering and Technology, 7(09), 100–125. https://doi.org/10.37547/tajet/Volume07Issue09-07.

Yogesh Sharad Ahirrao, Iqbal Ansari, Kazi Sanwarul Azim, Kiran Bhujel, & Suresh Shivram Panchal. (2025). AI-Powered Financial Strategy: Transforming Business Decision-Making Through Predictive Analytics. The American Journal of Engineering and Technology, 7(09), 126–151. https://doi.org/10.37547/tajet/Volume07Issue09-08.

Keya Karabi Roy, Maham Saeed, Mahzabin Binte Rahman, Kami Yangzen Lama, & Mustafa Abdullah Azzawi. (2025). Leveraging artificial intelligence for strategic decision-making in healthcare organizations: a business it perspective. The American Journal of Applied Sciences, 7(8), 74–93. https://doi.org/10.37547/tajas/Volume07Issue08-07

Maham Saeed. (2025). Data-Driven Healthcare: The Role of Business Intelligence Tools in Optimizing Clinical and Operational Performance. The American Journal of Applied Sciences, 7(8), 50–73. https://doi.org/10.37547/tajas/Volume07Issue08-06

Kazi Sanwarul Azim, Maham Saeed, Keya Karabi Roy, & Kami Yangzen Lama. (2025). Digital transformation in hospitals: evaluating the ROI of IT investments in health systems. The American Journal of Applied Sciences, 7(8), 94–116. https://doi.org/10.37547/tajas/Volume07Issue08-08

Kami Yangzen Lama, Maham Saeed, Keya Karabi Roy, & MD Abutaher Dewan. (2025). Cybersecurityac Strategies in Healthcare It Infrastructure: Balancing Innovation and Risk Management. The American Journal of Engineering and Technology, a7(8), 202–225. https://doi.org/10.37547/tajet/Volume07Issue08-17

Maham Saeed, Keya Karabi Roy, Kami Yangzen Lama, Mustafa Abdullah Azzawi, & Yeasin Arafat. (2025). IOTa and Wearable Technology in Patient Monitoring: Business Analyticacs Applications for Real-Time Health Management. The American Journal of Engineering and Technology, 7(8), 226–246. https://doi.org/10.37547/tajet/Volume07Issue08-18

Bhujel, K., Bulbul, S., Rafique, T., Majeed, A. A., & Maryam, D. S. (2024). Economic Inequality And Wealth Distribution. Educational Administration: Theory and Practice, 30(11), 2109–2118. https://doi.org/10.53555/kuey.v30i11.10294

Groenewald, D. E. S., Bhujel, K., Bilal, M. S., Rafique, T., Mahmood, D. S., Ijaz, A., Kantharia, D. F. A., & Groenewald, D. C. A. (2024). Enhancing Organizational performance through competency-based human resource management: A novel approach to performance evaluation. Educational Administration: Theory and Practice, 30(8), 284–290. https://doi.org/10.53555/kuey.v30i8.7250