Hospitals use Length of Stay (LOS) benchmarking as a strategic tool to evaluate performance, optimize care delivery, and manage costs.
- A responsive Tableau-powered dashboard to visualize and benchmark hospital Length of Stay metrics across diagnoses and departments.
Introduce key definitions and methods.
- LOS benchmarking compares a hospital’s average or geometric mean length of stay against standardized expectations.
- These standards often depend on diagnosis-related groups (DRGs), case mix, or national averages. Features
- KPI visualizations
- Calculated field logic
- Clinical benchmarking by service line
- Interactive filters and lightbox image expansion
Built with Tableau, HTML, CSS, and vanilla JS — ideal for performance monitoring, care optimization, and professional storytelling.
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Live Demo: Tableau Public link :
Lay out the data inputs essential for LOS analysis.
- Admission Date/Time
- Discharge Date/Time
- Admission Type (Planned vs Unplanned/Emergency)
- Service/MS-DRGs
- Discharge Disposition (e.g., Home, Skilled Nursing Facility, Expired)
Provide a concise breakdown of the metrics and their role.
- ALOS (Average Length of Stay): Simple mean of patient stays.
- GMLOS (Geometric Mean LOS): Reduces skew from outliers.
- CMA-LOS (Case-Mix Adjusted LOS): Adjusts for patient complexity.
Show practical implications across hospital operations:
- Performance Comparison: Identify outliers vs best practices.
- Financial Planning: Align with Medicare's DRG reimbursement structure.
- Quality Improvement: Spot delays in discharge or coordination.
- Operational Efficiency: Inform staffing and bed utilization decisions.
Briefly highlight the dashboard’s clinical utility:
Some hospitals integrate LOS benchmarks into clinical workflows—empowering care teams with real-time visibility into expected LOS based on working DRGs.
Encourage exploration through targeted queries:
- Which diagnoses are contributing most to extended stays?
- Is this a systemic issue or driven by one-off cases?
- Should resources be reallocated for improvement?
Bring the narrative back to the dashboard’s value.
- Monitor trends and exceptions in LOS.
- Benchmark against clinical expectations.
- Identify intervention targets.
- Strengthen discharge and resource planning.
Salome Scherer — Certified Health Data Analyst