Register entry
WRIE — Workforce Retention Intelligence Engine™
WRIE is the workforce component of the Operator-Controlled Operating Record. It reconciles scheduling, time, payroll, HRIS, and acuity-weighted demand into one governed record per employee, scores exit exposure on a rolling 30/60/90-day horizon against that record, and routes a confirmed risk to a named human owner. No determination is automated: a manager confirms, and the version, timestamp, and lineage of every flag are kept.
Evidence posture. Built and exercised in SeniorCRE validation environments on synthetic or de-identified data as of October 22, 2026. There is no published operator-production deployment, and no accuracy, turnover-reduction, savings, or payback figure is claimed. Claim states are recorded in the WRIE Evidence Record.
WRIE is documented in one place. Everything — how it flags risk, how the measures are defined, what is proven, how to evaluate it, and what is next — sits on the workforce intelligence hub.
Read it in this order
Seven pages, each answering one question. Start at the top; stop wherever your question is answered.
- 1What is WRIE, and what does it do?Start here
- 2How does it flag turnover risk, and on which data?How it flags risk
- 3Who defines the measures, and how is accuracy reported?How the numbers are defined
- 4Does it work yet, and what is still open?Trust & Governance
- 5How would we try it against our own history?How to evaluate it
- 6Who owns each stage, and what ends it?What adoption looks like
- 7What is not built, and what does it wait on?What is next
Also in this cluster, as needed
- Retention analytics guideHow do healthcare providers use analytics to improve retention?
- Payroll forecasting practicesWhat are the best practices for workforce intelligence and payroll forecasting in healthcare?
- Retention ROI calculatorHow do we model the case on our own numbers?
- Agency laborHow do we reduce agency hours without losing coverage?
- Payroll forecastingHow do we forecast labor cost across a portfolio?
- BenchmarksWhat is measured, and what is not published yet?