Standardized Quality Dashboard

Case Study: Standardizing Regulatory KPIs Across Multiple Institutions

  • Service: Business Intelligence & Data Integration Services
  • Industry & Size: Healthcare &  73,167 employees
  • Key Challenge: Achieve consensus among leadership at Columbia, Cornell, and New York Presbyterian on data definitions to create a unified dashboard for over 50 regulatory KPIs.
  • BI Tools: SQL, Epic

Headline Result: Established baseline data for the tri-institution, showing measurable KPI improvements after several months of use. Regulatory data is now available for instantaneous download, eliminating manual reporting.

Epic Radar dashboard with interactive parameters using Radar SQL. Created by Amee Gil, business intelligence solution

Summary:

I developed a comprehensive Obstetrics (OB) regulatory dashboard designed to standardize and track over 50 KPIs across Columbia, Cornell, and New York Presbyterian. This dashboard enabled multi-level analysis and provided real-time insights, enhancing the consistency of care delivery and improving performance tracking across institutions. By replacing outdated, siloed spreadsheet reporting, the new system established a benchmark for quality improvement, fostering collaboration and data-driven decision-making among the leadership teams.

Throughput Dashboard on Tableau

Created a custom heatmap using ED arrival and departure data that revealed patient census. This insight helped adjust staffing levels to improve patient throughput. The success of this data-driven approach led to its adoption by other institutions, dramatically enhancing operational efficiency and reducing wait times.

Standardized Quality Dashboard

Developed a comprehensive OB regulatory dashboard to track and standardize +50 KPIs across several institutions. This dashboard allowed for multi-level analysis and provided real-time data insights, leading to more consistent care delivery and improved performance tracking. The new system replaced siloed, spreadsheet-based reporting and established a benchmark for quality improvement.

Automated Operations Productivity Report

I developed an automated weekly operations report using Python and SQL, pulling data from a large data warehouse. This report tracks key operational metrics over time, such as customer arrival, door-to-entry, and door-to-leaving averages, providing a comprehensive view of throughput efficiency. Delivered via email, this self-service report allows stakeholders to monitor performance trends without manual intervention, enabling timely adjustments that optimize processes and improve customer experience.

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