使用特定的质量报告工具提高成像专业人员在质量改进中的参与度。

IF 1.2 Q3 PEDIATRICS Pediatric quality & safety Pub Date : 2023-07-01 DOI:10.1097/pq9.0000000000000673
Lynne Ruess, Benjamin P Thompson, Erin L Mesi, Margarita Chmil, Nicholas A Zumberge, Kari Jorgenson, Rajesh Krishnamurthy
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引用次数: 1

摘要

在我科,儿科影像专业人员对质量改进(QI)的参与度较低,缺乏可用的信息工具来及时有效地报告问题或提出改进机会。我们的目标是通过创建一个嵌入到临床成像工作流程中的实时、遭遇特定的报告工具来提高放射学中QI的参与度。方法:一个多学科团队概述了一种新的电子质量报告工具的需求,包括成像工作流程中的护理点访问和同时从医院信息系统自动捕获遇到的特定临床信息。信息系统专家根据成像工作流程的各个阶段(规划、获取、处理、解释、通信和数据收集)创建了一个用户友好的界面。团队成员培训所有部门员工。质量协调员对条目进行分类,并在两个36周的周期内监测人员敬业度:发布后立即和3年后。描述性统计用于分析这些时期提出的和完成的QI项目。结果:前36周共入组1498例。93%的放射科医生和56%的技术专家参与了调查。三年后,36周内有1251个参赛作品。已建立的QI项目的数据收集条目从380(25%)增加到487(39%)。随着时间的推移,放射科医生的参与度继续保持,但技术专家的参与度有所下降。QI项目的提交量从基线开始增加。项目完成率提高。结论:我们创建了一个嵌入到临床成像工作流程中的QI报告工具,提高了我们的成像专业人员的参与度,并增加了完成QI项目的数量。
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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Increasing Engagement of Imaging Professionals in Quality Improvement Using an Encounter-specific Quality-reporting Tool.

The involvement of pediatric imaging professionals in quality improvement (QI) in our department was low, with few available informatics tools to report issues or suggest improvement opportunities in a timely and efficient manner. We aimed to increase QI engagement in radiology by creating a real-time, encounter-specific reporting tool embedded into the clinical imaging workflow.

Methods: A multidisciplinary team outlined requirements for a new electronic quality-reporting tool, including point-of-care access during imaging workflow and simultaneous automatic capture of encounter-specific clinical information from the hospital information system. Information system experts created a user-friendly interface for categories based on stages of imaging workflow (Planning, Acquisition, Processing, Interpretation, Communication, and Data Collection). Team members trained all department staff. Quality coordinators sorted entries and monitored personnel engagement for two 36-week periods: immediately after launch and 3 years later. Descriptive statistics were used to analyze proposed and completed QI projects during these periods.

Results: There were 1,498 entries during the first 36 weeks. Ninety-three percent of radiologists and 56% of technologists participated. Three years later, there were 1,251 entries in 36 weeks. Data collection entries for established QI projects increased from 380 (25%) to 487(39%). The engagement continued among radiologists but decreased among technologists over time. Submissions for QI projects increased from baseline. The project completion rate increased.

Conclusion: We created a QI reporting tool embedded into the clinical imaging workflow, which improved the participation of our imaging professionals and increased the number of completed QI projects.

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