利用HOT-FIT模型对印尼亚齐Langsa总医院的医院管理信息系统实施进行评估

IF 0.1 Q4 MEDICINE, GENERAL & INTERNAL
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引用次数: 1

摘要

在向社区提供最好的保健服务时,医院作为保健设施利用的技术受到医学科学和技术发展和进步的影响。其中一种技术就是信息管理技术。由于信息处理的质量是成功为患者提供医疗服务的关键因素,2013年印度尼西亚共和国卫生部长第82号条例要求所有医院实施医院信息管理系统(HIMS)。为了评估HIMS的成功实施,已经开发了各种模型和框架,包括HOT-FIT模型。本研究旨在分析印尼亚齐Langsa总医院医院管理信息系统的实施情况,采用HOT-FIT模型,应用SEM-PLS方法。这项定量研究使用HOT-FIT(公司,技术- fit人)框架在大约三个月内完成,该框架包括系统质量、信息质量、服务质量、组织结构、设施情况、领导支持、系统使用、用户满意度和净收益等九个变量。使用SmartPLS应用程序(V.3.2.9)中的SEM-PLS分析进行数据分析。结果表明,人力、组织和技术支持是影响HIMS成功实施的因素。综上所述,HOT-FIT模型可用于识别影响HIMS成功实施的因素,从而为医院的HIMS改进提供信息,最终改善医院的质量体系、信息、服务质量和用户满意度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hospital Management Information System Implementation Assessment Using HOT-FIT Model in Langsa General Hospital Aceh, Indonesia
In providing the best health care to the community, hospitals as health care facilities utilize technologies that are influenced by developments and advances in medical sciences and technologies. One of such technologies is the information management technology. Since the quality of information processing is an essential factor for succesful medical care of patients, Regulation of the Minister of Health of the Republic of Indonesia Number 82 of 2013 requires all hospitals to implement a hospital information management system (HIMS). To assess the successful implementation of HIMS, various models and frameworks have been developed, including the HOT-FIT model. This study aimed to analyze the implementation of the hospital management information system at Langsa General Hospital, Aceh, Indonesia, using the HOT-FIT model which applied the SEM-PLS method. This quantitative study was performed in approximately three months using the HOT-FIT (company, technology-FIT human,) framework that includes nine variables of system quality, information quality, service quality, organization structure, facility situations, support from leadership, system usage, user satisfaction, and net benefits. Data analysis was performed using the SEM-PLS analysis in SmartPLS application (V.3.2.9). Results showed that human, organization, and technology supports were factors that influence the successful implementation of HIMS. To conclude, the HOT-FIT model can be used to identify the factors that influence the successful implementation of HIMS to inform the HIMS improvement in the hospital that will eventually improve the hospital’s quality system, information, service quality, and user satisfaction.
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