بخش بندی بازار توریسم درمانی در ایران با استفاده از تکنیک تحلیل خوشه ای توریسم درمانی و تحلیل خوشه ای

Background: Industry growing and work load of financial turnovers are one of the medical tourism’s reason. Because of additional capacity building in health domain especially in medical levels, medical tourism can be solved some problems similar to extra capacityby means of an essential strategy. The aim of this study was to Segment external clients based on their benefits expectations about health services in four hospitals in Iran.Materials andMethods:In current study, library reviewing and health care experts’ viewpoints were used in order to determine the characteristics of healthcare services.After determining the variables, factor analysis was performed to brief variables.Then, cluster analysis was performed on extracted factors using K MEANS algorithm and characteristics of each cluster was determined.Results: Four factors were extracted by factor analysis .Then, Cluster analysis was done on the factors andPatients were divided into four sections whilethe first section respect with health care services efficacy, the second and fourthparts tend to get care with respect and the third parthave a tendency to have individual abilityof hospitals.Conclusion: Individuals obtained the most important percent to care providing with respects among four extracted clusters. Thus, hospitals should have the most focus on communication quality regarding their marketing efforts with their clients.