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Stop Managing in the Rearview Mirror: The 7-Day Census Forecast Every Behavioral Health Leader Needs

Thu Oct 15 2:00 pm ET

By the time a census dip reaches your monthly report, it's weeks too late to fix. Leadership tends to decide a step behind, on a week that's already gone.

The data exists but reaching it in time is the hard part. Getting to a specific view means knowing where to look, building it, and refreshing it, so a slipping census or a stalled referral source surfaces late, if at all. A dip you catch on Monday is a staffing and outreach decision you can still make; catch it at month-end and the window has closed. A view that looks ahead changes that, giving leaders room to adjust staffing, beds, and spend while it still counts.

You'll see an executive command center that brings census, cash, missed calls, and marketing performance onto one screen, plus a 7-day census forecast that maps where the week is heading before it starts. Operators who run on it will share what it caught early and the decisions it changed, and we'll close with a walkthrough.

This session is built for the leaders responsible for census and revenue, from CEOs and COOs to owners and operators.

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Inside the session

The command center you'll see live

Census, cash, missed calls, and marketing performance on one screen, built on the data already in your CRM.

Dojo admissions director report showing admissions this month, lead to admit rate, cost per admission, revenue by source, and the admissions funnel

Sample data shown.

What You'll Take Away

Five things you can put to work

How to run leadership off one live command center, with missed calls, marketing efficiency, census, and revenue in one place

How a 7-day census forecast changes staffing, bed planning, and pipeline priorities before the week starts

How to catch revenue slipping, using average daily revenue, length of stay by rep and facility, and expected collections, before it shows up at month-end

Where the numbers come from: an intelligence layer on your existing CRM, no new platform and no rollout

Real operator examples and the decisions the data changed

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