See tomorrow's ED, today.
VISN predicts patient volume 7 days ahead — so your team staffs smarter, runs leaner, and captures the visits you used to lose.
A 7-day forecast, delivered every morning.
Each facility gets its own patient-volume forecast for the next two weeks — trained on your visit history and adjusted for weather, flu activity, holidays, and local events.
- Predicted daily volume for every site in your network
- Confidence rating on every day — no guessing
- Live comparison of actual arrivals vs. the forecast, all day
The forecast becomes a shift plan.
Every day the model publishes, your charge nurse and scheduler already know which shifts will be tight, which will be quiet, and how much float staff to hold in reserve.
Shorter waits. Fewer walkouts. Less boarding.
When the ED is staffed to the demand curve, the whole department runs cleaner. Bottlenecks shrink before they cascade.
Indicative ranges from VISN pilot deployments · confirmed per site after 60–90 day observation window
The visits you used to lose. Recovered.
Every walkout is a visit that arrived and paid for parking and left. Every unfilled shift is overtime that could have been prevented. VISN converts both back into margin.
Illustrative single-site model built on published benchmarks: ~2% national LWBS rate, ~$600 net revenue per ED visit, and ~$1,100 in forgone revenue per hour of ambulance diversion. Recovery assumes walkouts cut by about a third — in line with documented ED flow-improvement programs — diversion hours halved, and reactive overtime trimmed. Roughly $390K a year for a single site, calibrated to your own volume and reimbursement during onboarding.
See VISN in action.
Book a 30-minute call. We'll walk you through the forecast, the reports, and how VISN fits your ED. No data or setup required.
Book a call
A few questions so we can tailor the session to your facility.
- Step 01 Contact
- Step 02 Facility
- Step 03 Notes
We'll be in touch within one business day.
A VISN clinician and engineer will reach out to schedule your session.