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A Vision for the Systematic Monitoring and Improvement of the Quality of Electronic Health Data

机译:对电子健康数据质量的系统监测和提高的愿景

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In parallel with the implementation of information and communications systems, health care organizations are beginning to amass large-scale repositories of clinical and administrative data. Many nations seek to leverage so-called Big Data repositories to support improvements in health outcomes, drug safety, health surveillance, and care delivery processes. An unsupported assumption is that electronic health care data are of sufficient quality to enable the varied use cases envisioned by health ministries. The reality is that many electronic health data sources are of suboptimal quality and unfit for particular uses. To more systematically define, characterize and improve electronic health data quality, we propose a novel framework for health data stewardship. The framework is adapted from prior data quality research outside of health, but it has been reshaped to apply a systems approach to data quality with an emphasis on health outcomes. The proposed framework is a beginning, not an end. We invite the biomedical informatics community to use and adapt the framework to improve health data quality and outcomes for populations in nations around the world.
机译:与信息和通信系统的实施同时,医疗组织开始积累临床和行政数据的大规模储存库。许多国家寻求利用所谓的大数据存储库,以支持改善健康成果,药物安全,健康监测和护理递送过程。不支持的假设是电子医疗保健数据具有足够的质量,以实现健康部门设想的不同用例。现实是,许多电子健康数据源是次优质的质量和不适合特定用途的。为了更系统地定义,表征和改善电子健康数据质量,我们提出了一种新颖的健康数据管理框架。该框架是在健康之外的现有数据质量研究方面的调整,但它已被重新装入以应用系统方法,以强调健康结果。建议的框架是一个开始,而不是结束。我们邀请生物医学信息学社区使用并调整框架,以提高世界各地各国人口的健康数据质量和结果。

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