October 2, 2025

Developing AI-Driven Business Intelligence Tools for Enhancing Strategic Decision-Making in Public Health Agencies

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Authors

STSylvester TafirenyikaManagement College of Southern Africa TMThembani MoyoUniversity of Johannesburg ATAmardas TuboalaboRivers State University

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Implication

This review demonstrates how AI can enhance decision-making and data analysis in public health agencies, highlighting strategies and ethical considerations.

Key Points

AI-driven business intelligence tools improve strategic decision-making in public health agencies, enabling proactive responses.
Predictive analytics and machine learning facilitate real-time data analysis, automating anomaly detection and revealing hidden trends.
The review underscores essential data governance requirements and architectural design strategies for successful AI implementation.
Ethical considerations and interoperability standards are crucial for transparency and accountability in government health operations.

Cite This Study

Tafirenyika et al. (2023) studied this question.

synapsesocial.com/papers/68de70f583cbc991d0a2344c https://doi.org/10.54660/ijmfd.2023.4.1.58-68

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Implication

This review demonstrates how AI can enhance decision-making and data analysis in public health agencies, highlighting strategies and ethical considerations.

Developing AI-Driven Business Intelligence Tools for Enhancing Strategic Decision-Making in Public Health Agencies

Discussion

Member takes

Implication

Key Points

Cite This Study

Developing AI-Driven Business Intelligence Tools for Enhancing Strategic Decision-Making in Public Health Agencies

Discussion

Member takes

Implication

Key Points

Cite This Study

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Also Consider