Healthcare · Hospice Performance Analytics
Better Census Forecasting Is Worth an Estimated $919K a Year
A US hospice provider with a 100-patient census ran on simple dashboards. Data handling was manual, with no way to forecast Average Daily Census (ADC). We built an automated pipeline, custom algorithms and dual dashboards for trends and forecasting. ADC rose 12% and Length of Stay (LOS) shortened 15%, an estimated $919K a year on a 100-patient census.
~$919K/yrAdditional revenue on a 100-patient census (estimated)20%Lower operational cost via better resource allocation
15%Shorter Length of Stay (LOS)The Challenge
Without real-time Average Daily Census (ADC) and Length of Stay (LOS) analytics, the provider could not proactively manage referral timing, staffing or revenue. There was no automated data pipeline, data handling was manual, and there was no way to forecast census or identify what was driving performance. Hospice revenue is tied directly to ADC at the Medicare routine home-care rate, so every unit of ADC lost to poor forecasting or short-stay admissions was revenue left on the table, compounding across the year. Poor forecasting also drove overstaffing cost or understaffing risk.
What We Did
We started with the pipeline. An automated ETL pipeline replaced manual data handling, so census and stay data arrives in one place without someone assembling it. That became the foundation everything else in the build sits on. We then built custom metrics and algorithms tailored to hospice operations, feeding two dashboards: one for performance-trend analysis and one for forecasting with scenario simulation. The provider can model a staffing or referral decision before making it, rather than reading the result months later.
The Solution
An automated ETL pipeline now feeds custom hospice metrics and algorithms into two dashboards: one tracks performance trends, one forecasts with scenario simulation. Referral timing, staffing and census are managed against a forecast instead of a backward-looking report.
The Outcome
Average Daily Census rose 12% and Length of Stay shortened 15%. On a 100-patient census that is an estimated $919,000 in additional annual revenue. Operational cost fell 20%. The change is in timing. Staffing and referral decisions are made against a forecast rather than after the fact, and overstaffing cost and understaffing risk both narrow.
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