Analyzing Hospital Performance and Benchmarking

Caso di studio: analisi dei dati sanitari in Power BI

Lyndsay Girard

Healthcare Analytics Consultant

Looking back

Illustration of five various hospital exteriors

  • 151 hospitals in New York State performed elective hip replacement surgeries.
  • 26,286 total discharges.
  • The average LOS was 2.65 days.
  • Variability between hospitals not yet explained.
Caso di studio: analisi dei dati sanitari in Power BI

Introducing cost to the equation

  • Average cost per discharge = total costs / total discharges.
  • Useful benchmark to compare cost efficiency between hospitals.
  • Cost variance is driven by multiple factors (e.g. patient severity, age, hospital size, procedures and equipment used).

Image of a hospital bed with a dollar bill above

Caso di studio: analisi dei dati sanitari in Power BI

Insights to explore

  • Which hospitals stand out with highest cost and LOS relative to the state average?
  • Which hospitals stand out as biggest outliers overall?
  • Does larger surgical program size impact LOS and cost?
  • Root cause analysis: what factors influence LOS and cost the most?

Illustration of four healthcare professionals looking at a medical data dashboard

Caso di studio: analisi dei dati sanitari in Power BI

Let's practice!

Caso di studio: analisi dei dati sanitari in Power BI

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