How does SeniorCRE flag turnover risk before a resignation letter arrives — without scoring people behind their back?
Design target · Expected outcome
Operator-baseline retention review
Design target modeled from workflow design. No operator community has been measured, no approved Evidence Record supports it, and business outcomes remain contributory — figures are targets, not results. See Industry Findings for methodology.
Incumbents this workflow touches
Performs in-platform: HR director’s gut feel
Integrates with (Tier 3): Workday HCM · UKG Pro · ADP Workforce Now · Relias
SeniorCRE does not “replace” the EHR. Where PointClickCare, MatrixCare, Yardi, or OnShift are in place, the workflow runs on top of the existing record via integration.
The problem
Most operators learn that a key employee is leaving on the day they resign. By then it is too late to retain them, and the cost of backfill — recruitment, onboarding, agency coverage during the gap — is committed.
How the platform runs it
A turnover risk score updates weekly from signals already in the system (see the disclosure above). The score is explainable — every contributing factor is visible to the manager and to the employee on request. When a score crosses a threshold, the system prompts a structured retention conversation; nothing happens without the manager.
On the shift
WRIE scores every active employee weekly. This Monday, three CNAs at Property A move into the high-risk band. The intervention queue surfaces the patterns — one is over 50 hours/week for the third consecutive week, one’s engagement signals dropped after a unit reassignment, one’s pay variance versus market widened. The unit manager has a 15-minute conversation with each before Friday. Two stay. The third resigns three weeks later, but the replacement is hired and oriented before the last day.
What the outcome looks like
Validation evidence should show the scored population, contributing signals, manager review, recorded action, and subsequent retention status against the operator’s own history. No generic retention-rate improvement is claimed.
What goes wrong without it
Without prediction, the resignation arrives on a Tuesday morning with two weeks’ notice. Replacement recruiting starts that day. The position is open for 42 days at average industry rates; coverage is agency at $90/hour for the gap. Total cost of one unmanaged turnover for a CNA in this market is roughly $4,200 — and the pattern repeats because the underlying conditions never got addressed.
AI disclosure (human-in-the-loop)
This is a Tier-4 AI-assisted workflow. It is not a medical device and does not act without a human decision.
- Human-in-the-loop
- A score never triggers an automatic action. When a score crosses a threshold, the system prompts the named manager to schedule a structured retention conversation; the manager decides whether to act and records the outcome.
- Inputs the model uses
- Schedule volatility over the past 90 days (shifts changed, cancelled)
- Overtime as a share of scheduled hours
- PTO balance and recent PTO-use pattern
- Tenure curve and time since last promotion or pay change
- Time since last manager 1:1 logged
- No-show or late-arrival pattern
- False-positive cost
- A wrongly-flagged employee gets a retention conversation they did not need — low-cost. The manager is the gate; the score does not affect pay, scheduling, or termination.
Show me the evidence
Operators do not buy claims. They buy proof. If anything on this page reads as aspirational, ask us to walk you through the surface in production for a community at your acuity and payer mix.
Where this connects in the platform
Every workforce workflow runs on the same record. These are the feature pages, head-to-head comparisons, and pillar articles that go deeper on the surfaces this workflow touches.
Feature surfaces
Compared head-to-head
Workforce and labor references
Workforce workflows on this page draw on the CMS minimum staffing rule, BLS Occupational Employment and Wage Statistics, and the AHCA/NCAL workforce reports that shape current hiring benchmarks.
- Minimum Staffing Standards for Long-Term Care Facilities (Final Rule)
CMS / Federal Register
The 3.48 total / 0.55 RN HPRD standards and 24/7 RN-on-site requirement were rescinded by CMS effective Feb 2, 2026; the enhanced facility assessment remains in force.
- Occupational Employment and Wage Statistics — Healthcare Practitioners
Bureau of Labor Statistics
Authoritative wage benchmarks for RN, LPN, CNA, and Med Tech roles by MSA — drives our compensation benchmarking.
- AHCA/NCAL State of the Long Term Care Industry Workforce
AHCA / NCAL
Industry survey of turnover, vacancy, and agency reliance across the SNF and AL sectors.
- Payroll-Based Journal (PBJ) Submission Specifications
CMS
PBJ feeds Care Compare staffing stars; defines the auditable record for HPRD calculations.