Development and implementation of databases to track patient and safety outcomes.
Development and implementation of databases to track patient and safety outcomes.
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DOI：
10.1097/aco.0000000000001201
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发表时间：
2022-12-01
期刊：
影响因子：
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大数据分析工具和大型患者数据库的最新进展极大地扩大了跟踪患者和安全性结果的机会。我们讨论了大型数据库的优势和局限性，并在实践中实施，重点关注当前利用技术进步提高患者安全性的机会。大型患者安全性观察性研究最常用的数据来源是管理数据库、临床登记和电子健康记录。这些数据源使患者安全性主题的研究成为可能，从罕见的不良结局到疼痛控制和药物安全性模式的大型队列研究。通过自动化数据收集和跟踪供应商、机构、国家和全球层面的安全结果，增强了从围手术期大数据研究中获得的见解。在不久的将来，来自可穿戴设备、生理波形和基因组学的大数据可能会导致个性化结果测量的发展。使用大型数据库的患者安全性研究可以提供可操作的见解，以改善围手术期环境中的结果。随着数据集和方法的不断增长，采用新技术来实施个性化的质量保证计划可以显着改善患者护理。
Recent advancements in big data analytical tools and large patient databases have expanded tremendously the opportunities to track patient and safety outcomes. We discuss the strengths and limitations of large databases and implementation in practice with a focus on the current opportunities to use technological advancements to improve patient safety. The most used sources of data for large patient safety observational studies are administrative databases, clinical registries, and electronic health records. These data sources have enabled research on patient safety topics ranging from rare adverse outcomes to large cohort studies of the modalities for pain control and safety of medications. Implementing the insights from big perioperative data research is augmented by automating data collection and tracking the safety outcomes on a provider, institutional, national, and global level. In the near future, big data from wearable devices, physiological waveforms, and genomics may lead to the development of personalized outcome measures. Patient safety research using large databases can provide actionable insights to improve outcomes in the perioperative setting. As datasets and methods to gain insights from those continue to grow, adopting novel technologies to implement personalized quality assurance initiatives can significantly improve patient care.
DOI：
10.1016/j.spinee.2020.11.011
发表时间：
2021-03
期刊：
The spine journal : official journal of the North American Spine Society
影响因子：
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作者：
Moss HE;Xiao L;Shah SH;Chen YF;Joslin CE;Roth S
通讯作者：
Roth S