Aged care staff turnover in Australia
Time to replace a trained carer
With PsychProof Sentinel Loop
The Sentinel Loop
In Action.
Traditional tools wait for exit interviews. PsychProof identifies the burnout signal before the resignation letter is written.
Stage 01
Casual Observation
Facility manager logs a routine check-in. PsychProof timestamps and witnesses it immediately.
Stage 02
Pattern Detection
AI Sentinel Alert
"Marcus mentioned 3 times in 48h. Workload pattern detected. Suggest follow-up."
AI links mentions of the same person across entries, flagging escalating concerns.
Stage 03
Manager Action
Manager takes action before burnout becomes resignation. Control measure logged and witnessed.
Stage 04
Defensible Record
Complete audit trail: observation → pattern → intervention → outcome. Documents your duty of care.
The Old Way vs. The Sentinel Way
Traditional Approach
Manager notices Marcus seems stressed
Mental note made, nothing documented
Days pass, issue forgotten
Busy shifts, no follow-up system
Marcus hands in resignation
"I've been feeling burned out for weeks"
Scramble to replace
2-4 weeks to hire, train new staff. No evidence of care.
Result: Reactive, costly, no audit trail
PsychProof Sentinel
Manager logs observation (60 sec)
Email link → quick entry → timestamped
AI detects pattern (48 hours)
"Marcus mentioned 3x → suggest follow-up"
Manager takes action
Roster adjusted, 1-on-1 scheduled, logged
Marcus stays, evidence secured
Tamper-evident trail of proactive care
Result: Proactive, retention, audit-ready
From Reactive
to Proactive.
Aged care facilities can't afford to lose trained staff. PsychProof turns routine check-ins into early warning signals, giving managers time to intervene before burnout becomes resignation.
"We used to find out about staff burnout when they handed in their notice. Now, PsychProof gives us a 2-week head start. We've reduced turnover by 20% in 6 months."
Jennifer T.
Facility Manager
Note: This case study is a representative scenario based on common aged care psychosocial risk patterns. Individual results may vary.
