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IMPLEMENTATING BUSINESS INTELLIGENCE SOLUTIONS IN THE HEALTH SECTOR: LESSONS FROM THE KENYA HMIS PROJECT

机译:在卫生部门实施商业智能解决方案:肯尼亚HMIS项目的经验教训

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Background Futures Group through a CDC co-operative agreement has been working with the Kenya Ministry of Health (MoH) to develop a patient-level data warehouse and business intelligence (BI) solutions to ensure that electronic patient care data is used in real-time decision making. Challenge While the Kenya MoH has been investing in information communication technology (ICT) implementations to improve service delivery, a number of these implementations are silos leading to multiple un-integrated systems. This has consequently deprived policy makers and the general public of a rich and centralized repository of data for country level business intelligence, analytics and reporting capabilities. Response To address this challenge, the Kenya MoH and Futures Group have started development of a HIV centric data mart to further understanding requirements, design, implementation and data security needs. Lessons Learnt The computerization of patient medical records together with the goodwill of stakeholders in the Kenya MoH has made it possible to consolidate patient data for decision making in a centralized data repository. There continues to be a need for rigorous processes to be undertaken in development of data governance policies around patient data security and administration. Next Steps In order to develop a meaningful and sustainable data warehouse, the Kenya HMIS project aims at increasing technical capacity within the ministry through workshops and other stakeholder engagement forums. A culture of data demand and information use is also being cultivated at health facilities with an aim of not only developing analytics capacity at the health facility but also improve on the quality of data generated by these facilities.
机译:背景期货集团通过CDC合作协议一直与肯尼亚卫生部(MoH)合作开发患者级数据仓库和商业智能(BI)解决方案,以确保实时使用电子患者护理数据做决定。挑战尽管肯尼亚卫生部一直在投资于信息通信技术(ICT)实施以改善服务交付,但是其中许多实施都是孤岛,导致了多个未集成的系统。因此,这剥夺了政策制定者和公众对国家级商业智能,分析和报告功能的丰富而集中的数据存储库的重视。应对措施为了应对这一挑战,肯尼亚卫生部和期货小组已经开始开发以艾滋病毒为中心的数据集市,以进一步了解需求,设计,实施和数据安全需求。经验教训病历的计算机化以及肯尼亚卫生部利益相关者的善意使合并病历数据成为可能,从而可以在集中式数据库中进行决策。在围绕患者数据安全性和管理制定数据治理政策时,仍然需要采取严格的流程。后续步骤为了开发有意义且可持续的数据仓库,肯尼亚HMIS项目旨在通过举办研讨会和其他利益相关方参与论坛来提高该部的技术能力。卫生机构还正在培养一种数据需求和信息使用的文化,其目的不仅在于提高卫生机构的分析能力,而且还在于改善这些机构所生成数据的质量。

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