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Visualizing Impact of Sustainability Outcome in Healthcare Infrastructure: Bayesian Decision Models for Thailand Health Administration

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  • Praowpan Tansitpong

    (NIDA Business School, National Institute of Development Administration, Thailand)

Abstract

This study presents a sustainable decision-making framework for healthcare systems, focusing on integrating AI-supported Electronic Medical Records to optimize budget constraints, resource utilization, and operational efficiency. The model incorporates sustainability principles by setting performance thresholds, integrating energy-efficient systems, and promoting waste reduction. It adapts dynamically to shifting priorities, balancing clinical outcomes, cost management, and time savings. The framework enhances long-term sustainability in cancer care by utilizing predictive analytics for treatment optimization, reducing inefficiencies, and improving decision-making accuracy. By aligning technology with sustainability goals, the model fosters improved patient outcomes, cost-effectiveness, and environmental responsibility in healthcare delivery.

Suggested Citation

  • Praowpan Tansitpong, 2025. "Visualizing Impact of Sustainability Outcome in Healthcare Infrastructure: Bayesian Decision Models for Thailand Health Administration," International Journal of Healthcare Information Systems and Informatics (IJHISI), IGI Global Scientific Publishing, vol. 20(1), pages 1-22, January.
    • Handle: RePEc:igg:jhisi0:v:20:y:2025:i:1:p:1-22
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