• Data & AI Services

Driving Operational Excellence in Healthcare through Data Unification

Client overview
The client is a leading physician-led urgent care network operating over 70 clinics across eight states. With over two decades of experience, the organization partners with major hospitals to provide high-quality, cost-effective care and supports extensive joint ventures in occupational medicine.

The Challenge

The organization faced significant hurdles due to a lack of centralized data. With information scattered across multiple disconnected systems, stakeholders were unable to track critical KPIs in real-time.

The heavy reliance on manual Excel reporting not only increased the risk of human error but also consumed vast amounts of administrative time.

Moreover, the absence of a scalable data framework made onboarding new clinics a complex, custom process that lacked proper historical tracking and performance visibility.

The Prudent Solutions

Prudent implemented a centralized Data Warehouse (DWH) designed to turn fragmented data into a strategic asset. Our team established automated pipelines to ingest data from diverse sources into an Azure Data Lake.

Using a robust Medallion Architecture (Bronze, Silver, and Gold layers), we ensured data was cleaned, standardized, and structured for high-level business intelligence.

The organization chose Prudent because we delivered more than just a reporting tool; we provided a scalable dimensional model and a unified star schema that allowed for repeatable reporting across all 70+ clinics.

By automating the ETL process and enabling daily data refreshes, we provided a flexible warehouse design that adapts as the network grows. Our solution standardized definitions across all departments, ensuring that every stakeholder—from clinical staff to administration—was working from a single version of the truth.

Business Outcomes

  • Optimized clinic hours and provider scheduling by tracking real-time patient demand and footfall.
  • Reduced labor costs and minimized employee burnout through automated visibility into overtime and training.
  • Enabled data-driven provider coaching and performance reviews using standardized clinical scorecards.
  • Accelerated clinic expansion with a “quick onboarding” framework for new data sources and locations.
  • Eliminated manual Excel-based reporting, significantly reducing human error and administrative effort.
  • Established a centralized source of truth with standardized data definitions across all functional departments

Specialized Skillsets Sourced

Azure Data Lake
Medallion Architecture (ETL)
Power BI Analytics, Dimensional Modeling (Star Schema)
Automated Data Workflows

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