A Proposed Model for Cost Design Using Functional and Specification Analysis Enhanced by AI Algorithms and Its Impact in Healthcare Service Efficiency and Customer Value: An Applied Study in Ibn Al-Bitar Hospital
DOI:
https://doi.org/10.31150/ajebm.v8i8.3919Keywords:
Cost Design, Functional & Specification Analysis, Artificial Intelligence Algorithms, Healthcare Service Efficiency, Customer Perceived ValueAbstract
This research aims to investigate the impact of implementing cost design based on functional analysis and specification analysis, augmented by artificial intelligence algorithms, on improvement healthcare service efficiency and improved customer regarded value at Ibn Al-Bitar Specialized Hospital for Heart Operation. Achieving a balance between functional performance and actual costs is the focus of cost design, which is recognized as a modern tool in cost management. By aligning healthcare services with patient needs and expectations, specification analysis contributes. Patient questionnaires, interviews with medical and organizational staff, and operational data analysis from the infirmary are the tools used for the applied analytical practice of the study, which utilizes both quantitative and qualitative research tools. Artificial intelligence models served as supporting tools in identifying patterns and opportunities for performance growth. Decision trees, regression analysis, and clustering algorithms were used to identify expense sources and ineffective functions. The findings show that using this integrated model has a statistically significant positive influence on service efficiency by lowering resource waste and enhancing treatment process quality. Furthermore, the findings showed that patient satisfaction and perceived value rose, especially when it comes to concerns like responsiveness, dependability, and transparency. To offer cost-effective, high-quality, and customer-centered healthcare services, the study suggests using this methodological approach as a sustainable framework for specialized hospitals, by integrating traditional analysis tools with AI algorithms.
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Copyright (c) 2025 Ali Abdul-Hussein Hani Al-Zameli
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