title: Applying analytic hierarchy process to assess healthcare-oriented cloud computing service systems.
abstract: Numerous differences exist between the healthcare industry and other industries. Difficulties in the business operation of the healthcare industry have continually increased because of the volatility and importance of health care, changes to and requirements of health insurance policies, and the statuses of healthcare providers, which are typically considered not-for-profit organizations. Moreover, because of the financial risks associated with constant changes in healthcare payment methods and constantly evolving information technology, healthcare organizations must continually adjust their business operation objectives; therefore, cloud computing presents both a challenge and an opportunity. As a response to aging populations and the prevalence of the Internet in fast-paced contemporary societies, cloud computing can be used to facilitate the task of balancing the quality and costs of health care. To evaluate cloud computing service systems for use in health care, providing decision makers with a comprehensive assessment method for prioritizing decision-making factors is highly beneficial. Hence, this study applied the analytic hierarchy process, compared items related to cloud computing and health care, executed a questionnaire survey, and then classified the critical factors influencing healthcare cloud computing service systems on the basis of statistical analyses of the questionnaire results. The results indicate that the primary factor affecting the design or implementation of optimal cloud computing healthcare service systems is cost effectiveness, with the secondary factors being practical considerations such as software design and system architecture.
authors.affiliation: Department of Information Management, Tatung University, Taipei, Taiwan.
authors.forename: Wen-Hwa
authors.initials: WH
authors.lastname: Liao
authors.affiliation: MacKay Memorial Hospital, Taipei, Taiwan.
authors.forename: Wan-Li
authors.initials: WL
authors.lastname: Qiu
keywords: Analytic hierarchy process (AHP); Cloud computing; Health care service systems