EURO 2025 Leeds
Abstract Submission

2804. Smart Health Check-up 2.0: Developing a Performance Evaluation System for Health Examination Centers Using AI and Big Data Analytics

Invited abstract in session TA-33: Decision Analysis and Artificial Intelligence (AI), stream Decision Analysis.

Tuesday, 8:30-10:00
Room: Maurice Keyworth 1.31

Authors (first author is the speaker)

1. Sun-Weng Huang
Department of Health Care Management, National Taipei University of Nursing and Health Sciences
2. Jian-Hua Xia
Department of Industrial Engineering and Management, National Taipei University of Technology
3. James Liou
Industrial Engineering and Management, National Taipei University of Technology
4. Tony Y. L. Chiang
Department of Health Care Management, National Taipei University of Nursing and Health Sciences
5. Gwo-Hshiung Tzeng
Graduate Institute of Urban Planning, National Taipei University

Abstract

With the rapid advancement of artificial intelligence (AI) and big data analytics, effectively assessing the performance and service quality of health examination centers has become increasingly crucial. Traditional evaluation methods often overlook the potential offered by medical data analysis, resulting in incomplete representations of health check-up performance and quality. Thus, this research aims to establish a comprehensive and objective performance evaluation framework for health examination centers by leveraging AI and data analytics techniques while integrating the perspectives of experts and stakeholders. First, semi-structured interviews are conducted to identify key indicators and requirements from health examination stakeholders. Subsequently, AI and data analytics methods are applied to medical service data, quantifying relationships and identifying critical influencing factors among various performance indicators. Finally, the Fuzzy Delphi Method is employed to reach expert consensus, thereby selecting and confirming core indicators of performance and service quality. The outcomes of this study can provide valuable guidance for future health examination center planning and healthcare policy formulation, effectively enhancing the quality of health check-up services.

Keywords

Status: accepted

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