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Sometimes a stat makes you sit up: 65% fewer injuries in 12 months. That’s what RCSA member Protech achieved after adopting Carelever’s PredictFit. The figures come straight from Carelever’s case study covering 30 Sep 2024 to 30 Sep 2025.
The headline reductions are hard to ignore. High-severity injuries fell 70%. Lost-time injuries dropped 94%. In the same period, Protech handled 18,299 referrals with an average 2.9-hour turnaround per screen. Speed and safety moved together, not in trade-off.
Why this mattered to Protech will feel familiar to many members. The workforce was national and mobile. Centralised medicals were a barrier. Turnarounds were slowing onboarding. Traditional screening wasn’t predictive enough to change outcomes. The brief was simple to say and hard to do: speed, scale, smarter prediction.
PredictFit answered that brief with a fully digital flow. Assessments are conducted online. Screening can be delivered nationwide with sub-three-hour turnarounds. Hiring momentum stays intact while risk is surfaced earlier.
“The introduction of PredictFit has helped Protech continue to evolve our onboarding process. By embracing innovation and new technology we can continue to deliver Quality People. Every Time,” says Natalie Stewart, Chief People and Compliance Officer, Protech.
What’s most interesting is the validation that the model predicts what matters. Workers flagged “Fit with Considerations” (FWC) or “Medical Review Required” (MRR) were more likely to experience higher-severity, early-tenure injuries. That signal lets teams act before incidents, not after.
The system also learned over time. Outcome distributions shifted as the AI refined its thresholds: Fit moved from 91.5% → 85%, FWC from 4.7% → 6%, and MRR from 3.8% → 9%. That’s a sensible redistribution if your goal is catching risk with greater fidelity, including ageing-worker and recovery considerations.
Operationally, the picture is clean. Fewer injuries. Faster onboarding. Lower claim frequency and costs. Improved insurer confidence. The case study’s conclusion is blunt: digital screening can deliver both speed and safety.
For members, this reads like a practical benchmark. If someone asks, “Will digital pre-employment screening slow us down?”, this data points to a clear answer: no. Protech sustained pace while improving outcomes.
A few takeaways you can borrow for your own conversations:
- Define the problem tightly. If your team faces mobile candidates, slow turnarounds, or legacy screening that isn’t predictive, name it first. The solution design will follow.
- Protect speed-to-hire. Any change to screening should hold or improve your turnaround times. PredictFit’s sub-3-hour benchmark is a useful yardstick.
- Look for predictive validation. Ask vendors to show that “higher-risk” flags correlate with real-world incidents, especially early-tenure, higher-severity events.
- Expect models to evolve. Monitoring shifts in Fit/FWC/MRR can indicate better targeting over time.
Bottom line? This isn’t a hype piece, it’s a useful reference point. Protech’s experience shows what modern, predictive screening can do at national scale. If you’re exploring options, start with the numbers, the turnaround, and the predictive signal, and hold any solution to that standard.
Book your Carelever PredictFit demo here.