This study develops quality evaluation criteria that consider both service provider satisfaction and patient perspective in assessing e-Health services; additionally, it evaluates the impact of these criteria on the performance of e-Health services. Utilizing data from the Tele Care Center in National Taiwan University Hospital (NTUH), one of the largest hospitals in Taiwan, this research framework extends the service-profit chain by integrating service triangle concept and emphasizing the relationships among three stakeholders: the firm, the customer, and the employee. The results suggest that the positive relationships among hospital’s business value, physicians’ value, and patients’ value can contribute to customer retention. In sum, this study expects to contribute to literature by providing an e-Health service performance assessment framework, which systematically develops a scale to evaluate e-Health service quality that concerns multiple stakeholders’ perspectives.

由於社會人口結構逐漸老化，電子健康照護服務的需求日漸增長，在今日成為健康照護服務中成長最迅速的領域，因此，服務設計就在健康照護產業中成為一個關鍵的議題。設計一個成功且完善的服務系統，首先要先了解病患的特性及需求，我們引用調節變項模型的概念，提出一套電子化健康照護服務設計架構，研究病患的服務偏好以及服務特色之間的配適性關係。本研究採個案研究法，透過台大醫院遠距醫療照護服務計畫中收集資料，我們研究結果發現在病患服務偏好以及服務特色當中存在著高度的配適性關係，如同我們的假設，在這之間的配適度將是一個影響服務效能的關鍵因素之一，本篇論文的貢獻在於為電子健康照護服務產業上提供一個良好的服務系統架構，並且提出一個驗證後的模型以了解關鍵的相關服務特色。 / The demand of e-Health care has been dramatically increasing and is quickly becoming one of the fastest growing areas of health-care today, due to today’s rapidly aging society; service design has therefore become a critical issue in the e-Health industry. To design a successful e-Health system, one must consider the different characteristics and preferences of each patient and design a system from a practical point of view. According to the concept of fit through moderation, this research aims to propose an e-Health design framework that examines the correlational fit between e-Health features and patient preference for achieving the best performance. We conducted a survey, where data was collected from the e-Health care program at the National Taiwan University Hospital (NTUH). From these sources, we found that there is an existing fit between e-Health service features and the preferences of different patient segments. Our findings also coincide with our pervious hypotheses that the fit between service features and patient preference contribute the service performance. The contribution of study is to provide a better understanding of critical service features through a validated framework in order to develop a better service system design for the provision of e-Health service.