Duke Health Technology Solutions, Duke University Health System, Durham, North Carolina, USA.
Department of Obstetrics and Gynecology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
J Am Med Inform Assoc. 2020 May 1;27(5):783-787. doi: 10.1093/jamia/ocaa016.
While electronic health record (EHR) systems store copious amounts of patient data, aggregating those data across patients can be challenging. Visual analytic tools that integrate with EHR systems allow clinicians to gain better insight and understanding into clinical care and management. We report on our experience building Tableau-based visualizations and integrating them into our EHR system.
Visual analytic tools were created as part of 12 clinician-initiated quality improvement projects. We built the visual analytic tools in Tableau and linked it within our EPIC environment. We identified 5 visual themes that spanned the various projects. To illustrate these themes, we choose 1 exemplary project which aimed to improve obstetric operating room efficiency.
Across our 12 projects, we identified 5 visual themes that are integral to project success: scheduling & optimization (in 11/12 projects); provider assessment (10/12); executive assessment (8/12); patient outcomes (7/12); and control and goal charts (2/12).
Many visualizations share common themes. Identification of these themes has allowed our internal team to be more efficient and directed in developing visualizations for future projects.
Organizing visual analytics into themes can allow informatics teams to more efficiently provide visual products to clinical collaborators.
虽然电子健康记录（EHR）系统存储了大量患者数据，但跨患者聚合这些数据可能具有挑战性。与 EHR 系统集成的可视化分析工具可让临床医生更好地洞察和理解临床护理和管理。我们报告了使用基于 Tableau 的可视化工具并将其集成到我们的 EHR 系统中的经验。
可视化分析工具是作为 12 个临床医生发起的质量改进项目的一部分创建的。我们在 Tableau 中构建了可视化分析工具，并在我们的 EPIC 环境中进行了链接。我们确定了跨越各个项目的 5 个可视化主题。为了说明这些主题，我们选择了 1 个旨在提高妇产科手术室效率的典型项目。
在我们的 12 个项目中，我们确定了 5 个对项目成功至关重要的可视化主题：调度和优化（11/12 个项目）；提供者评估（10/12 个）；执行评估（8/12 个）；患者结果（7/12 个）；和控制和目标图表（2/12 个）。
许多可视化工具具有共同的主题。确定这些主题使我们的内部团队在为未来项目开发可视化工具时更加高效和有针对性。
将视觉分析组织成主题可以使信息学团队更有效地向临床合作者提供视觉产品。
