Analysis of the level for demand for u-Healthcare System following Health Promotion Model

Abstract

The purpose of this study lies in maximizing customer satisfaction by examining the relation between variables of Pender's Health Promotion Model(HPM) and customers' demand of u-Healthcare Service and then, by suggesting methods applicable to u-Healthcare System design. Especially, it verified the suitability of research model to health promotion model variables and made use of confirmatory factor analysis to prove causal significance between potential variables with customers who have used u-Healthcare Service or intend to use it later as subjects. After identifying performance levels and influence coefficients of every variable and applying them to QFD to find out the relation between the requirements of u-Healthcare System Service, it sets the main goal in determining what are important system service characteristics for effective quality improvement by using the result. For the goal, the following research processes are chosen. Concretely, this study first introduced main evaluation factors of Pender's Health Promotion Model in order to draw out consumers' objective requirements about u-Healthcare for u-Healthcare system development. In addition, it suggested structural equation model for the purpose of examining evaluation methods to accommodate multiple dependency causal relationship between evaluation factors and finding out optimal causality between them. Second, I examined structural equation model with the validity in composing potential variables and observation variables of Health Promotion Model through confirmatory factor analysis and evaluates its goodness of fit. Third, in order to consider the correlation between evaluation norms and factors of service quality characteristics for the satisfaction of u-Healthcare system users, I figured out the influence of multiple dependency causality by using partial least squares. In addition, I rated significant health promotion models on the basis of the standardization discriminant function and applied it to the evaluation norms as a weighted value. Using this, I suggested an evaluation model to determine the order of priority in consumer quality characteristics. Fourth, I carried out a survey of experts on the correlation between the degree of difficulty in system development and characteristics of both u-Healthcare system and service quality. I finally drew out a value weight on system service characteristics by adding the result of the order of priority in consumer quality characteristics to the above survey and determined the practical order of priority in u-Healthcare system service characteristics. And then, at last, Isuggested a model to be applied to the product development focused on customer satisfaction by taking into consideration the real difficulty of the system development. As the result of QFD analysis, with expert degree of difficulty applied, of "Emergency Situation Management"in Service Platform and External Interface, "User Authentication" in Operation Management, "External Network" in Network Platform with a lot of users' requirements, "Emergency Situation Management"is 4.0 in the degree of difficulty and important part in the system. But in reality, its system building is judged to be technically hard. But "User Authentication" and "External Network" are 2.6 and 3.2 respectively and are easy in building system in agreement with users' high needs. Though "Treatment Decision Support System Management" and "Biometric Information Collection/Storage/Management" are 4.0 and 3.6 respectively and have received a lot of users'requirements, their system building will be considerably hard. In case of Measurement Terminal, as an important factor of the system with a lot of users' requirements, its system building is also easy as the degree of difficulty is easy level. As examined above, this study will apply quality attributes selected by suggested process not only tosystem quality evaluation but also to new u-Health system development reflecting users' quality requirements. With the findings, I suggest the following. This study has its significance in suggesting techniques applicable to the u-Healthcare system development using QFD. Concretely, by investigating u-Healthcare users' direct requirement attributes and extracting u-Healthcare system service characteristics with customer requirement reflected by using QFD model, I figured out the order of priority in the importance of system service characteristics that must be dealt with most importantly. Through this, I attempted to suggest system service characteristics that should be considered first in developing u-Healthcare system. In addition, by differentiating u-Healthcare service quality characteristics transformed from customer requirement attributes and systematically written in HOQ, I made system designers use them as a reference to enhance the degree of completion of u-Healthcare system. As a conclusion, this study proposed an application method of QFD to satisfy customer requirements for the development of u-Healthcare system development. Moreover, I enhanced the reliability of service quality characteristics by using the correlation between HPM and service quality characteristics and provided evaluation norms to measure effectively and trust u-Healthcare system features by examining the correlation between relevant experts' system characteristics. Also, I suggested important features to improve users' requirements by using this.