Handayani Putu Wuri, Hidayanto Achmad Nizar, Budi Indra
a Faculty of Computer Science , Universitas Indonesia , West Java , Indonesia.
Inform Health Soc Care. 2018 Dec;43(4):401-426. doi: 10.1080/17538157.2017.1353999. Epub 2017 Aug 22.
This study reviews the literature on the most important acceptance factors associated with Hospital Information Systems (HIS) and related technologies based on user groups' perspectives (medical staff, hospital management, administrative personnel, patient, medical student, and IT staff), which can assist researchers and hospital management to develop suitable acceptance models to improve the quality of HIS. We conducted searches in online databases with large repositories of academic studies, written in English and fully accessible by the authors. The articles being reviewed are related to health information technology (HIT), clinical information systems (CIS), HIS, electronic medical records (EMR), telemedicine or telehealth, picture archiving and communication systems (PACS), radio frequency identification (RFID), and computerized physician order entry (CPOE), where the use of most of those applications and technologies is highly integrated. A predefined string was used to extract 1,005 articles, and the results were reviewed and checked. The results of this study found 15 user acceptance factors related to HIS and related technologies that were frequently identified by a minimum of five previous studies. These factors were related to individual, technological, and organizational factors. In addition, HIS and related technologies' user acceptance factors in each user group describe different results.
本研究从用户群体(医务人员、医院管理层、行政人员、患者、医学生和信息技术人员)的角度回顾了与医院信息系统(HIS)及相关技术相关的最重要的接受因素的文献,这有助于研究人员和医院管理层开发合适的接受模型,以提高HIS的质量。我们在拥有大量学术研究文献库的在线数据库中进行搜索,这些文献以英文撰写且作者可完全访问。所审查的文章与健康信息技术(HIT)、临床信息系统(CIS)、HIS、电子病历(EMR)、远程医疗或远程健康、图像存档与通信系统(PACS)、射频识别(RFID)以及计算机化医师医嘱录入(CPOE)相关,其中大多数这些应用和技术的使用高度集成。使用预定义的字符串提取了1005篇文章,并对结果进行了审查和核对。本研究结果发现了15个与HIS及相关技术相关的用户接受因素,这些因素至少被之前的五项研究所频繁提及。这些因素与个人、技术和组织因素有关。此外,每个用户群体中HIS及相关技术的用户接受因素呈现出不同的结果。