The quality concerns in health care Big Data

A. Molinari, G. Nollo
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引用次数: 1

Abstract

Health information technology is showing an impressive growing interest towards Big Data. Big Data Analytics is expected to bring important achievements for building sophisticated models, methods and tools that are expected to improve healthcare services and citizen health and wellbeing. In spite of these expectations data quality and analytics methods are not getting the attention they deserve. In this short paper, we aimed to highlight the issues of data quality in the context of Big Data Healthcare Analytics. The common sources of errors, the consequence of these errors, and potential solutions that should be considered to mitigate errors and pitfalls are discussed in the healthcare context.
医疗保健大数据中的质量问题
卫生信息技术对大数据的兴趣日益浓厚。大数据分析有望为构建复杂的模型、方法和工具带来重要成就,这些模型、方法和工具有望改善医疗保健服务和公民健康和福祉。尽管有这些期望,但数据质量和分析方法并没有得到应有的重视。在这篇短文中,我们旨在强调大数据医疗保健分析背景下的数据质量问题。本文在医疗保健上下文中讨论了常见的错误来源、这些错误的后果以及应该考虑的减轻错误和陷阱的潜在解决方案。
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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