Staffing Intelligence Platform

Predict Understaffed Shifts 12 to 48 Hours Out

Knit Health reads your scheduling data and surfaces shift-level coverage gaps before the day falls apart. Nursing leadership gets specific alerts with recommended actions, not 6 AM surprises.

4-West ICU Week of Jul 7-13 · Coverage Forecast
Mon Tue Wed Thu Fri Sat Sun
Day
7a-3p
3/3
3/3
3/3
3/3
3/3
2/3
3/3
Eve
3p-11p
3/3
3/3
3/3
2/3
Predicted gap 14h
3/3
3/3
3/3
Night
11p-7a
2/2
2/2
2/2
1/3
2/2
2/2
1/2

What Nursing Operations Teams Are Seeing

14h
Average advance notice before a predicted coverage gap
Median lead time across our initial pilot cohort
~22%
Overtime reduction across pilot cohorts
Based on internal tracking across early-access deployments
3 min
Average daily time in the Knit dashboard
Measured by our team across active pilot accounts
The Problem Today

Staffing Gaps Are Predictable. The Response Doesn't Have to Be Reactive.

Most coverage emergencies are visible in the data 24-48 hours before they hit. The problem is that no one looks until the hole is already there.

See the Platform
How It Works

Forecast. Alert. Act. Before the Gap.

Knit reads your scheduling system, EMR feeds, and historical patterns to generate unit-level coverage forecasts, then surfaces alerts in time for your team to act.

01
Connect Your Data

Read-only connectors pull from your scheduling platform, EMR ADT feeds, and payroll data. No workflow changes. Most integrations complete in under two weeks.

02
Generate Coverage Scores

The Intelligence Layer models census demand against scheduled supply 24-72 hours out. Each shift gets a coverage score and a predicted gap probability.

03
Act on Early Alerts

Nursing leadership sees unit-level alerts with recommended actions: float pool suggestions, agency request lead time, and which shifts need attention first.

Use Cases

Built for the Units That Can't Go Understaffed

From ICU ratio compliance to ED surge response, Knit surfaces the right intelligence for each unit type.

ICU and Critical Care

Model 24-36 hour census forecasts against nurse-to-patient ratio requirements before a breach becomes unavoidable.

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Emergency Department

Seasonal patterns, day-of-week effects, and local event data produce predictable surge signatures your scheduling can anticipate.

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Night and Weekend Float

Night and weekend shifts have the lowest backfill success rates. Advance notice is the only variable that meaningfully changes outcomes.

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From the Field

What Early-Access Participants Are Saying

"We had been patching coverage gaps the morning of for as long as I can remember. With Knit, we started seeing the same gaps 24 to 36 hours earlier. That lead time alone changed what we could do about them."

Director of Nursing Operations
340-bed regional medical center, early-access pilot program

"Our float pool was already good. What we lacked was enough runway to use it. The coverage alerts gave our charge nurses the head start they needed before the only option left was agency at premium rates."

VP of Clinical Operations
Mid-size health system, early-access pilot program
Integrations

Works With the Systems You Already Run

Read-only connectors, no workflow changes required. Most implementations complete in under two weeks.

Scheduling Platforms
UKG, Kronos, ShiftWizard, API
EMR / ADT Feeds
Epic, Cerner, Meditech, HL7
Payroll Systems
Workday, ADP, Infor, CSV
Custom API
REST and webhook support
Get Started

See Your Unit Coverage Forecast in a Live Demo

We configure a demo using your unit structure and shift windows so you see real patterns, not generic examples. No commitment required.