Key Interventions that Support the Realisation of Data Driven Hospitals.

Anna Lehong, Bongi Zondo, Sonja Venter
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Abstract

The District Health Information System (DHIS) is used in South Africa to collect routine aggregated data. Analysis of hospital data in the DHIS revealed that reporting in hospitals (especially clinical data) is generally inconsistent and incomplete. The NDoH recognize these reporting and data quality challenges in hospitals and the impact they have on the ability to make informed management decisions and monitor the impact of health interventions. A data quality improvement initiative was undertaken in ten of the biggest Central and Tertiary hospitals in South Africa. The methodology to identify areas of incomplete reporting, findings of the onsite visits and interventions implemented to improve reporting rates in these hospitals are all discussed. This initiative demonstrated that well-designed and targeted interventions tested an refined in a few health facilities can easily be replicated in other facilities, making data quality intervention more cost effective in resource constrained settings.

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支持实现数据驱动型医院的关键干预措施。
南非使用地区卫生信息系统(DHIS)收集常规汇总数据。对DHIS医院数据的分析显示,医院的报告(尤其是临床数据)普遍不一致和不完整。《国家卫生部》认识到医院在报告和数据质量方面面临的挑战,以及这些挑战对作出知情管理决策和监测卫生干预措施影响的能力产生的影响。在南非10家最大的中央和三级医院开展了数据质量改进倡议。讨论了确定报告不完整领域的方法、现场访问的结果以及为提高这些医院的报告率而实施的干预措施。这一举措表明,在少数卫生设施中经过测试和改进的精心设计和有针对性的干预措施很容易在其他设施中复制,从而使数据质量干预措施在资源有限的情况下更具成本效益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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