使用变化理论和可视化分析的质量改进措施，以改善手术室中受控物质文件记录的差异。
Quality Initiative Using Theory of Change and Visual Analytics to Improve Controlled Substance Documentation Discrepancies in the Operating Room.
机构信息
Department of Anesthesia, Perioperative and Pain Medicine, Johns Hopkins All Children's Hospital, St Petersburg, Florida, United States.
Department of Health Informatics, Johns Hopkins All Children's Hospital, St Petersburg, Florida, United States.
出版信息
Appl Clin Inform. 2019 May;10(3):543-551. doi: 10.1055/s-0039-1693688. Epub 2019 Jul 31.
BACKGROUND
Discrepancies in controlled substance documentation are common and can lead to legal and regulatory repercussions. We introduced a visual analytics dashboard to assist in a quality improvement project to reduce the discrepancies in controlled substance documentation in the operating room (OR) of our free-standing pediatric hospital.
METHODS
Visual analytics were applied to collected documentation discrepancy audit data and were used to track progress of the project, to motivate the OR team, and in analyzing where further improvements could be made. This was part of a seven-step improvement plan based on the Theory of Change with a logic model framework approach.
RESULTS
The introduction of the visual analytics dashboard contributed a 24% improvement in controlled substance documentation discrepancy. The project overall reduced documentation errors by 71% over the studied period.
CONCLUSION
We used visual analytics to simultaneously analyze, monitor, and interpret vast amounts of data and present them in an appealing format. In conjunction with quality-improvement principles, this led to a significant improvement in controlled substance documentation discrepancies.
背景
管制药物文件中的差异很常见，可能会导致法律和监管方面的后果。我们引入了一个可视化分析仪表板，以协助一个质量改进项目，减少我们的独立儿童医院手术室中管制药物文件的差异。
方法
可视化分析应用于收集的文件差异审核数据，用于跟踪项目进展，激励手术室团队，并分析可以进一步改进的地方。这是一个基于变革理论的七个步骤改进计划的一部分，采用逻辑模型框架方法。
结果
引入可视化分析仪表板使管制药物文件差异减少了 24%。整个项目在研究期间将文件错误减少了 71%。
结论
我们使用可视化分析来同时分析、监控和解释大量数据，并以吸引人的格式呈现。与质量改进原则相结合，这导致管制药物文件差异的显著改善。
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