Division of Pediatric Hospital Medicine, Department of Pediatrics, Boston Children's Hospital, Boston, Massachusetts, United States.
Section of Pediatric Hospital Medicine, Department of Pediatrics, Baylor College of Medicine/Texas Children's Hospital, Houston, Texas, United States.
Appl Clin Inform. 2022 Mar;13(2):380-390. doi: 10.1055/s-0042-1744388. Epub 2022 Mar 16.
Pediatric residency programs are required by the Accreditation Council for Graduate Medical Education to provide residents with patient-care and quality metrics to facilitate self-identification of knowledge gaps to prioritize improvement efforts. Trainees are interested in receiving this data, but this is a largely unmet need. Our objectives were to (1) design and implement an automated dashboard providing individualized data to residents, and (2) examine the usability and acceptability of the dashboard among pediatric residents.
We developed a dashboard containing individualized patient-care data for pediatric residents with emphasis on needs identified by residents and residency leadership. To build the dashboard, we created a connection from a clinical data warehouse to data visualization software. We allocated patients to residents based on note authorship and created individualized reports with masked identities that preserved anonymity. After development, we conducted usability and acceptability testing with 11 resident users utilizing a mixed-methods approach. We conducted interviews and anonymous surveys which evaluated technical features of the application, ease of use, as well as users' attitudes toward using the dashboard. Categories and subcategories from usability interviews were identified using a content analysis approach.
Our dashboard provides individualized metrics including diagnosis exposure counts, procedure counts, efficiency metrics, and quality metrics. In content analysis of the usability testing interviews, the most frequently mentioned use of the dashboard was to aid a resident's self-directed learning. Residents had few concerns about the dashboard overall. Surveyed residents found the dashboard easy to use and expressed intention to use the dashboard in the future.
Automated dashboards may be a solution to the current challenge of providing trainees with individualized patient-care data. Our usability testing revealed that residents found our dashboard to be useful and that they intended to use this tool to facilitate development of self-directed learning plans.
研究生医学教育认证委员会要求儿科住院医师培训项目为住院医师提供患者护理和质量指标，以促进自我识别知识差距，优先进行改进工作。学员有兴趣接收这些数据，但这是一个尚未满足的需求。我们的目标是：(1)设计并实施一个自动化仪表板，为住院医师提供个性化数据；(2)考察儿科住院医师对该仪表板的可用性和可接受性。
我们开发了一个包含儿科住院医师个性化患者护理数据的仪表板，重点是住院医师和住院医师领导层确定的需求。为了构建仪表板，我们创建了一个从临床数据仓库到数据可视化软件的连接。我们根据笔记作者将患者分配给住院医师，并创建了具有屏蔽身份的个性化报告，以保持匿名。开发完成后，我们使用混合方法对 11 名住院医师用户进行了可用性和可接受性测试。我们进行了访谈和匿名调查，评估了应用程序的技术功能、易用性以及用户使用仪表板的态度。使用内容分析法对可用性访谈的类别和子类别进行了识别。
我们的仪表板提供了个性化指标，包括诊断暴露次数、手术次数、效率指标和质量指标。在对可用性测试访谈的内容分析中，仪表板最常被提及的用途是帮助住院医师进行自我指导学习。住院医师对仪表板总体上几乎没有什么担忧。接受调查的住院医师认为仪表板易于使用，并表示将来有使用该仪表板的意愿。
自动化仪表板可能是为学员提供个性化患者护理数据的当前挑战的解决方案。我们的可用性测试表明，住院医师认为我们的仪表板很有用，并且他们打算使用该工具来促进自我指导学习计划的制定。
