Effectively Highlighting Critical Performance Measures Through AI-Enabled Visual Management Boards

ACCESS TO ACTIONABLE DATA VITAL FOR HEALTHCARE ORGANIZATIONS

More than ever before, data are one of the most important components of healthcare quality, and timely access to actionable data is crucial for healthcare organizations.¹Visual management boards provide information about process improvement at a glance and can be a powerful tool for engaging frontline staff in quality improvement efforts. Combined with daily huddles, visual management boards can help teams review and organize the day and develop strategies to address complicated issues.²

MANUAL VISUAL MANAGEMENT BOARDS LIMITED DATA SHARING

该保健组织由一家专科医院和多个诊所组成，曾试图让整个组织参与数据知情的改进工作。该组织利用可视化管理委员会与一线员工共享高质量数据，但数据提供的延迟限制了有效性。为了准备数据和可视化，它每季度打印图形，并手动将它们张贴在每个单元的板上。这些纸质副本没有吸引力，而且数据至少在4个月前被送到单位。编制数据和可视化所需的繁重手工过程限制了共享措施的数量，导致每个单位只能共享5至6个结果措施。

The organization understood that data were critical for clinical, financial, and operational improvement and wanted a solution that would allow it to make a multitude of performance data available across the entire organization, from the C-suite to frontline staff.

ANALYTICS PLATFORM AND AI IMPROVES DATA ACCESS

该组织利用了Health Catalyst®数据操作系统(DO世界杯葡萄牙vs加纳即时走地S™)平台和一套强大的分析应用程序，包括Pop Insights™分析应用程序和医疗保健。世界杯厄瓜多尔vs塞内加尔波胆预测AI™，为员工提供数据，加速组织改进能力。该组织使用Pop Insights kiosk模式在整个系统中向团队免费推送数据。团队可以通过仪表板的自动幻灯片显示，在任何数字可视化管理板上异步协作地监视度量。这个售货亭保持每天24小时、每周7天的登录状态。

The organization uses Healthcare.AI to integrate AI techniques into its analytics tools. Statistical process control (SPC) charts are automatically created by Healthcare.AI and updated each time the data refresh—as frequently as every 15 minutes.

该组织向每个住院病房发布显示器，患者可以看到这些显示器。单板会自动过滤特定单元的性能数据。当一线工作人员查看显示器时，他们会看到与他们的单位和日常工作相关的数据。例如，护理人员可以快速、轻松地可视化中央静脉相关血流感染(CLABSI)在过去一周的捆绑依从性，并立即看到捆绑依从性对CLABSI率的影响。

除了基于单位的显示之外，组织还为其领导团队实施了执行显示。执行董事会展示整个机构的绩效数据，领导们可以很容易地深入研究他们感兴趣的具体数据。该组织定期审查提交给董事会的数据，增加和归档措施，确保与战略优先事项一致。

The boards also enable organization-wide communication of important safety messages and celebration of unit achievements. The organization uses the boards to remind staff to get their COVID-19 and influenza vaccinations and reinforce key hand-hygiene messages. Recently, an inpatient unit achieved the notable accomplishment of having gone 365 days without a CLABSI. The organization recognized and celebrated this accomplishment and used the displays to push out photos of the staff who achieved these goals, congratulating them on this significant milestone.

RESULTS

该组织通过对关键度量的连续自动化可视化实现了数据信息文化。第一次，它可以可视化许多结果和过程措施，为从高管到一线员工的每个人提供有意义的、及时的、可操作的数据。Results include:

• More than a70 percent relative increasein the availability of timely, actionable data.
  • 367 measures visualizedacross71 different dashboards. The organization visualizes a multitude of process and outcome measures, including:
    • Patient safety measures.
    • Peri-anesthesia events and post-anesthesia outcomes.
    • Operational measures related to effective throughput and resource utilization.
    • Nursing-sensitive quality measures.
    • Safety-event reporting.
• Automated, consistent application of SPC charts, enabling separation of signal from noise, consistent evaluation of patterns and trends, and improved detection of changes over time.
  • Healthcare.AI integration, with4,000 requests processed per day.

“使用DOS、流行见解和医疗保健。人工智能使我们能够迅速扩大整个组织共享的绩效衡量标准的数量。数据以一致的方式可视化，有助于确保整个组织使用相同的数据和方法来理解和提高绩效。”

Director Clinical Improvement

WHAT’S NEXT

The organization plans to expand its ability to quickly provide timely, accurate data, providing leadership and frontline staff the opportunity to learn from data and adjust processes to achieve the best possible clinical, financial, and operational outcomes.

REFERENCES

1. Bullman, h(2020)。Three data-related trends in healthcare for 2021.Future Healthcare Today.Retrieved fromhttps://futurehealthcaretoday.com/three-data-related-trends-in-healthcare-for-2021/
2. Institute for Healthcare Management. (2018).Visual management board.Retrieved fromhttps://www.med.unc.edu/ihqi/wp-content/uploads/sites/463/2019/03/IHITool_Visual_Management_Board.pdf

ADDITIONAL READING

• Trigger-Based Analytics Application Recognizes More Wrong-Patient Order Errors
• Predictive Analytics: Making Patients Safer Through Event Reporting and Prediction
• Using Analytics to Improve Patient Safety Surveillance Makes Patients Safer
• Improving Patient Safety: Machine Learning Targets an Urgent Concern
• Survey Shows the Role of Technology in the Progress of Patient Safety