MediPulse
Hospital Operations & Performance Analytics
Healthcare analytics platform modeling hospital operations data using a star schema. SQL KPI analysis, Python EDA, and Excel-based scenario modeling deliver insights on patient wait times, ER overload patterns, department load, doctor productivity, readmission rates, and LWBS (Left Without Being Seen) rates.
Key features & capabilities.
P95 wait time analysis — identifies worst-case wait outliers beyond median
ER overload status classifier: Normal / Busy / Overloaded by hour
Department load analysis and doctor productivity (patients per doctor per hour)
72-hour readmission rate tracking with age-group breakdown
Star schema: fact_hospital_visits + dim_hospitals, dim_departments, dim_doctors, dim_calendar
Excel scenario workbooks for what-if capacity planning
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