University Medical System: Case Study
A teaching hospital with 2 urban campuses and 10,000+ full-time employees wished to reduce nursing and frontline staff turnover. Leveraging Arena’s predictive analytics to inform hiring, they succeeded and cut costs related to re-hiring for the same role 2+ times over the course of the year, improving both staff morale and quality of care.
The new hires who Arena had predicted for success were turning over at a rate of 33%, while job candidates who Arena did not predict would be retained were turning over at a rate of 47%.
When selecting a candidate who is not predicted as likely-to-be-retained, hiring managers can be alert to this possibility and provide additional support and onboarding. Following Arena’s recommendations for optimizing retention one-third of the time, the hospital system reduced overall turnover by 12%.
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