Today
Demand forecasts are built in spreadsheets from historical EHR volume data. The process is quarterly and involves multiple manual steps across Compass, Assembled, and finance.
How the workflow helps
Tray can automate the data extraction and preparation pipeline for capacity forecasting — pulling from Compass, Assembled, and finance, cleaning the data, and writing it into the forecasting model on a regular cadence.
Value inputs to capture
- How far in advance is capacity planned today?
- How long does building a forecast model take?
- How often do actual volumes diverge significantly from forecast?
Add volume, time saved, and loaded cost to create a draft estimate. Until then, no impact number is shown.