分析利用信息和技术提高坦桑尼亚卫生保健服务系统效率的障碍。

H C Kimaro, H M Twaakyondo
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引用次数: 51

摘要

人们认为,信息技术为改善卫生服务和实现对卫生产生影响的更广泛的发展目标提供了巨大的机会。通过使用IT,医疗保健部门可以规划、监控和评估医疗服务,并在组织层次结构内部和跨组织层次结构进行更有效的沟通。然而,一些研究表明,在利用信息技术为坦桑尼亚卫生部门带来重大变革方面存在一些障碍。尽管卫生部门没有适当利用现有的信息技术资源,但捐助者和政府继续帮助卫生部门获得最新的信息技术资源,但却很少重视长期的信息技术培训、数据管理和有效利用信息,导致这些资源被浪费,因此在提供保健服务方面几乎没有改善。这项研究是以卫生信息系统方案(HISP)为基础的,这是一个行动研究项目,旨在利用信息技术和信息促进地方行动,改善发展中国家的卫生信息系统。根据该项目,在坦桑尼亚的五个试点地区实施了可定制、开源和免费分发的地区卫生信息软件。从卫生保健信息系统项目和一般卫生部门其他各级吸取的教训表明,缺乏数据解释和利用的技能、关于信息和人员能力建设的政策准则以及缺乏灵活的制度。
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Analysing the hindrance to the use of information and technology for improving efficiency of health care delivery system in Tanzania.

Information Technologies (IT) have been described as offering tremendous opportunity to improve health services as well as in meeting broader developmental goals which have an impact on health. Through the use of IT, healthcare sectors can potentially plan, monitor and evaluate health services as well as communicate more effectively within and across organizational hierarchies. However, a number of studies suggest several hindrances where the use of IT to bring critical change in the health sector of Tanzania has been problematic. Despite the lack of appropriate use of the existing IT resources in the health sector, donors and government have continued helping the health sector to acquire up-to-date IT resources while however placing little emphasis on long term IT training, data management and effective utilization of information resulting into wasted of such resources hence little improvement in health services delivery. This study is based on the Health Information System Programme (HISP), an action research project aimed at improving health information system in developing countries with the use of IT and information for local action. Under the project, the district health information software which is customizable, open source and freely distributed has been implemented in five pilot districts in Tanzania. The lessons learned from HISP project and other levels of the health sector in general indicate the lack of skills for data interpretation and utilisation, policy guidelines on information and human capacity building as well as a lack of flexible system.

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