Transforming Team Efficiency with Real-Time Data Insights

Case Study: A Dashboard That Transforms Care for Mothers & Newborns

  • Service: Business Intelligence & Analytics
  • Industry & Size: Healthcare & 77,310 employees
  • Key Challenge: Labor & Delivery teams at three world-class institutions needed a solution to replace time-consuming manual reporting, overcome data silos, and unify insights across campuses.
  • BI Tools: Epic, SQL

Headline Result: A self-service dashboard reduced 50+ hours of manual work to instant data access, enhanced multi-campus collaboration, and improved data quality.

Business Intelligence service; real-time data dashboard

Summary:

Labor & Delivery teams at New York-Presbyterian, Columbia, and Cornell hospitals now have the power of real-time insights to improve patient care and operational efficiency. Collaborating with front-line staff, I implemented a self-service dashboard that unified reporting, streamlined workflows, and allowed teams to monitor their impact confidently. This innovation not only saved time but also fostered data-driven collaboration, enabling proactive care and continuous improvement.

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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