Evaluation of Failure Causes in Employing Hospital Information Systems

Journal of System Management

دوره 6، شماره 3، بهمن 2020، صفحه 31-76   

نوع مقاله: Research Paper

شناسه دیجیتال (DOI): 10.30495/jsm.2021.678894

نویسندگان

Hossein Sayyadi Tooranloo^{* 1}؛ Sepideh Saghafi²؛ Arezoo Sadat Ayatollah³

¹Department of Management, Meybod University, Meybod, Iran

²Department of Public Adminstration, University of Tehran Kish International campus, Tehran, Iran

³Department of Information Technology Management, University of Science & Art,Yazd, Iran

چکیده

Today, the information systems play a critical role in business for each organization. Like other organizations, hospitals use information systems for data collection, data storage, data processing and the like to have long-term and short-term achievements. Despite the very benefits of implementing HIS and its costly implementation, the HIS project sometimes fails. The importance of the HIS failure and preventive practices in this regard have led researchers investigate the causes of failure for information systems in hospitals. In this paper, an FMEA-based model is presented in an intuitionistic fuzzy environment to evaluate the HIS failure factors. For this purpose, Data required to implement the proposed model were collected in 5 hospital, in Kerman (Iran). Based on research studies and survey of hospital academic experts, a total number of 27 failure modes were determined for the implementation HIS. The results of the proposed approach indicated that 8 factors are of paramount importance in terms of HIS failure causes: Individuals' lack of skill/knowledge, lack of integration between system and organizational activities, unrealistic planning, lack of IT management or weak project team (information system), improper software development, lack of managerial skills, misdiagnosis of roles and responsibilities, inconsistency between corporate culture and change requirements (compatibility).

کلیدواژه‌ها

Hospital Information Systems (HIS)؛ Failure Mode and Effects Analysis (FMEA)؛ Intuitionistic Fuzzy

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