Exploring Intelligent Business Systems and Marketing 5.0: Developing a Suitable Preventive Health System Model for the Thai Population Across Diverse Age Cohorts

Abstract

The objective of this research is to study the health problems of the Thai population across diverse age cohorts and to utilize intelligent business systems and Marketing 5.0 to design and develop a preventive health system tailored to each age group. This qualitative research employs document analysis and in-depth interviews with key informants involved in preventive health systems, intelligent business systems, and Marketing 5.0 at both executive and operational levels in large private hospitals in Chonburi Province. The researcher selected a purposive sample of 20 participants and collected data through semi-structured in-depth interviews, followed by content analysis. The findings reveal that the top five chronic non-communicable diseases among the Thai population are hypertension, diabetes, cardiovascular disease, stroke, and chronic obstructive pulmonary disease. Intelligent business systems and Marketing 5.0 can manage data for analysis and forecasting of preventive health systems. Current marketing strategies must prioritize consumer data to analyze and design preventive health products that are suitable for each age group and individual. Preventive measures before the onset of disease are crucial for all age groups in Thailand. However, the existing preventive health check-up services in hospitals do not cover all diseases comprehensively, indicating a need for further development or improvement. The preventive health system model should allow users to choose the services themselves, ensuring suitability for disease screening for the Thai population across diverse age cohorts.