Impacts of business intelligence on population health: a systematic literature review

L. Cohen
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引用次数: 3

Abstract

"Business Intelligence" is an area of Information Technology (IT) that involves the collection, analysis and presentation of large amounts of data. BI has been successfully applied to promote good decision making in a variety of environments, and has high potential to make a significant impact in the domain of population health. The promotion of population health is a key concern of government authorities and various health institutions and officials making decisions about interventions that may impact on population health would benefit from the use of information on population health. BI could clearly be a facilitator in this regard, but evidence of its current application and impact in this field is not easily accessible to policy makers. This systematic literature review explored the literature and provided a synthesis of information available on the current use of BI in this area, and evidence of the impact of its use on population health. An array of applications of BI for population health were found, including data warehouses, analytics, reports, data warehouse browsers, OLAP, GIS, Dashboards and Alerts. Evidence of the impact of these applications on population health was mainly anecdotal, with only one empirical study found. Issues and challenges encountered in the development and use of BI are Privacy and Security, Data Quality and Development and Maintenance of BI infrastructure
商业智能对人口健康的影响:系统文献综述
"商业智能 "是信息技术(IT)的一个领域,涉及大量数据的收集、分析和展示。商业智能已被成功应用于促进各种环境下的良好决策,并极有可能在人口健康领域产生重大影响。促进人口健康是政府当局和各种卫生机构的主要关注点,官员们在就可能影响人口健康的干预措施做出决策时,将受益于人口健康信息的使用。在这方面,生物信息显然可以起到促进作用,但决策者并不容易获得有关其目前在这一领域的应用和影响的证据。本系统性文献综述对相关文献进行了探讨,并提供了有关当前商业智能在该领域应用的信息综述,以及使用商业智能对人口健康产生影响的证据。我们发现了一系列商业智能在人口健康领域的应用,包括数据仓库、分析、报告、数据仓库浏览器、OLAP、GIS、仪表盘和警报。这些应用对人口健康影响的证据主要是传闻,只发现了一项实证研究。在开发和使用商业智能过程中遇到的问题和挑战包括隐私和安全、数据质量以及商业智能基础设施的开发和维护。
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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