Use of Microsoft Power BI to display pregnancy related performance statistics within NHS trusts

Oliver Hugh, Jason Gardosi
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 MethodThe use of Power BI instead of a solution requiring software development allowed the data analysis team to be in control of creating the application and facilitate a streamlined updating process. We used the dashboard feature, dropdowns and radio buttons to display statistics relating to the rate of identification of SGA at antenatal ultrasound scan as a proportion of all babies that are SGA at birth (sensitivity) as well as false positivity. The dashboard is contained within the web-based application to monitor growth during antenatal care. Applying the row level security feature with DAX formula, we were able to personalise the report for each Trust depending on who logged into the web-app.
 ResultsThe application facilitates monitoring performance of the service in real time, longitudinally by month, quarter and year as well benchmark cross-sectionally against network/regional and national averages. The dashboard lets clinicians access their information in a clear and secure manner without the need for a separate link. The ready availability of data allows Trusts to enact policies to improve their performance and ultimately prevent avoidable deaths, and has contributed to the year on year decline in stillbirth rates in units that have been running this application.
 ConclusionDevelopment of this dashboard has resulted trusts being more aware of their own data to promote improvements in antenatal care.","PeriodicalId":132937,"journal":{"name":"International Journal for Population Data Science","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal for Population Data Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23889/ijpds.v8i2.2342","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

ObjectiveWe wanted to create a dashboard that allowed midwives and doctors to monitor the performance of their NHS Trust by viewing the statistics relating to their performance in identifying babies at risk due to not growing well in the womb (small for gestational age, SGA), the single largest cause of stillbirths and subject to national guidelines and reporting requirements. Antenatal detection of SGA allows clinicians to undertake further investigations and plan for a timely delivery. MethodThe use of Power BI instead of a solution requiring software development allowed the data analysis team to be in control of creating the application and facilitate a streamlined updating process. We used the dashboard feature, dropdowns and radio buttons to display statistics relating to the rate of identification of SGA at antenatal ultrasound scan as a proportion of all babies that are SGA at birth (sensitivity) as well as false positivity. The dashboard is contained within the web-based application to monitor growth during antenatal care. Applying the row level security feature with DAX formula, we were able to personalise the report for each Trust depending on who logged into the web-app. ResultsThe application facilitates monitoring performance of the service in real time, longitudinally by month, quarter and year as well benchmark cross-sectionally against network/regional and national averages. The dashboard lets clinicians access their information in a clear and secure manner without the need for a separate link. The ready availability of data allows Trusts to enact policies to improve their performance and ultimately prevent avoidable deaths, and has contributed to the year on year decline in stillbirth rates in units that have been running this application. ConclusionDevelopment of this dashboard has resulted trusts being more aware of their own data to promote improvements in antenatal care.
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使用Microsoft Power BI在NHS信托中显示与怀孕相关的性能统计数据
我们希望创建一个仪表板,允许助产士和医生通过查看与他们在识别由于子宫内生长不良(小于胎龄,SGA)而有风险的婴儿方面的表现相关的统计数据来监控他们的NHS信托的表现,SGA是死产的最大单一原因,并受国家指南和报告要求的约束。产前检测SGA可使临床医生进行进一步调查,并为及时分娩制定计划。方法使用Power BI代替需要软件开发的解决方案,允许数据分析团队控制应用程序的创建,并促进简化的更新过程。我们使用仪表板功能、下拉框和单选按钮来显示有关产前超声扫描中SGA的识别率(敏感性)和假阳性占所有出生时SGA婴儿的比例的统计数据。仪表板包含在基于web的应用程序中,用于监测产前护理期间的生长情况。使用DAX公式的行级安全功能,我们能够根据登录到web应用程序的用户来个性化每个信托的报告。 结果该应用程序便于实时、纵向地按月、季度和年监测服务的性能,并根据网络/地区和全国平均水平进行横向基准测试。仪表板允许临床医生以清晰和安全的方式访问他们的信息,而不需要单独的链接。数据的现成可用性使信托基金能够制定政策,以提高其绩效,并最终防止可避免的死亡,并且促成了一直在运行该应用程序的单位的死产率逐年下降。结论该仪表板的发展使信托机构更加了解自己的数据,以促进产前保健的改善。
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