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Solutions

St. Paul offers a range of services designed to enhance collaboration, streamline decision-making, and drive growth. From data analytics and strategic planning to learning tools, our solutions support Finance, Strategy, Leadership, and more. Enjoy cross-functional compatibility, admin-controlled access, and unlimited users—all tailored to your needs.

Experience the power of an integrated, versatile data reporting solution with INTEGRATED SNAPSHOT. Transform your data into actionable insights with ease.

Analysing data
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Comprehensive
Data Handling

Whether you have more data than standard case-mix reporting allows or require advanced data processing, we have you covered. We can clean, inspect, normalize, and load any data for precise, accurate reporting.

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Custom Solutions

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Client Stories

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Supporting Excessive Length of Stay Research with CMA-LOS and GMLOS

Challenge: Gaining Deeper Insight into Excessive Hospital Length of Stay

A healthcare researcher approached us with a focused objective: to analyze patterns of excessive Length of Stay (LOS) in hospitalized patients. Standard LOS metrics often fail to account for outliers, which can skew interpretations and limit the usefulness of findings in operational or policy planning.

To conduct a more meaningful analysis, the client requested two key metrics:

  • Case Mix Adujusted - Length of Stay (CMA-LOS)

  • Geometrical Mean Length of Stay (GMLOS)

 

These measurements would provide both contextual benchmarking and statistical balance.

Solution: Delivering Accurate, Outlier-Adjusted Metrics

Our team extracted and prepared CMA-LOS and GMLOS data, using the APR-DRG grouping methodology to ensure clinically meaningful comparisons.

  • CMA-LOS provided a weighted average based on case severity, aligning the research with expected resource use and patient acuity.

  • GMLOS, by contrast, offered a statistically robust measure that reduces the impact of outlier cases, yielding a more precise picture of typical LOS values.

 

This dual approach allowed the client to identify systemic inefficiencies, understand where care durations exceeded expectations, and guide further inquiry into underlying causes.

Results: Informed Research, Actionable Insights

  • Enhanced precision in identifying excessive LOS patterns

  • Improved ability to compare LOS across patient groups and services

  • Robust foundation for data-driven recommendations

Key Deliverables:

  • Case Mix Adjusted - LOS (CMA-LOS)

  • Geometrical Mean LOS (GMLOS)

  • APR-DRG-based segmentation

  • Clean, research-ready datasets

 

By combining clinical relevance with statistical accuracy, we helped transform a focused research inquiry into a platform for strategic improvement.

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Seamless Data Transition with Custom Tape Merge Application

Challenge: Migrating Legacy Hospital Data Systems Without Disruption

When a healthcare organization made the decision to switch to a new hospital data entry system, they faced a major challenge: how to preserve historical data integrity and ensure a smooth transition between platforms. The legacy system stored data in a format that wasn’t directly compatible with the new infrastructure—putting years of patient and operational data at risk of inconsistency or loss.

Solution: Custom Tape Merge Application Deployment

To address this, our team developed and implemented a Tape Merge application, purpose-built to align data structures between the old and new systems. The application processed raw data extracts, normalized record formats, and ensured that all critical values—from patient identifiers to clinical metrics—were properly mapped and preserved.

By automating the merging and validation of historical records, we eliminated manual re-entry and minimized the potential for data gaps or errors during the transition.

Technologies & Services Used

  • Custom Tape Merge Logic

  • Data Mapping & Normalization

  • System Transition Support

The Results: Reliable Integration & Operational Continuity

  • Full retention of historical patient data

  • Streamlined system switchover with zero downtime

  • Improved data consistency across platforms

We specialize in solving complex data transition challenges—so our clients can focus on care, not compatibility.

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Ensuring Data Accuracy with Emergency Department LOS Verification

Challenge: Verifying Emergency Department Length of Stay for Accuracy and Compliance

A healthcare organization approached us with a specific need: to verify Emergency Department Length of Stay (ED-LOS) data to support ongoing performance evaluation and compliance reporting. In fast-paced clinical environments, even small discrepancies in timestamps can significantly impact LOS metrics—affecting both operational assessments and regulatory reviews.

Solution: Targeted ED-LOS Data Verification Process

To meet the client’s request, our team implemented a custom ED-LOS data verification protocol. This involved:

  • Reviewing timestamp integrity from patient arrival to discharge or admission

  • Cross-referencing multiple data fields to validate LOS calculations

  • Identifying and correcting anomalies due to missing or inconsistent time entries

Our process ensured that the ED-LOS data reflected true patient throughput, free from data entry errors or system mismatches.

The Results: Trusted Metrics for Strategic Use

  • Validated ED-LOS data for performance improvement analysis

  • Enhanced compliance with internal and external reporting standards

  • Increased confidence in ED operational metrics

  • The client can now rely on their ED-LOS data for accurate trend analysis, staffing decisions, and performance benchmarking—knowing the numbers are clean, complete, and audit-ready.

Key Services Provided:

  • Emergency Department LOS Verification

  • Timestamp Reconciliation

  • Data Quality Assurance & Auditing

 

By aligning data with real-world workflows, we helped the client turn raw records into reliable insights—supporting better care and better decisions.

Client Stories

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Year: 2035

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Industry: Finance

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Client: Name

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Year: 2035

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Industry: Finance

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