Learn how data-driven hiring reduced turnover rates and strengthened workforce stability for a nonprofit health system
High nurse turnover and staffing shortages continue to strain healthcare organizations. When hiring relies on inconsistent processes or limited insight into candidate fit, it leads to workforce instability, rising contract labor costs, and disruptions to patient care continuity.
CHRISTUS Health needed a smarter, more scalable hiring approach. With Infor Talent Science™, the organization introduced a data-driven strategy to identify candidates better aligned to role requirements and organizational culture.
The result was a more consistent hiring process that lowered turnover by:
- 34% for assessed hires versus unassessed hires
- 33% for stronger-fit hires across all roles
- 36% for registered nurse hires aligned to role profiles
Discover how your organization can strengthen workforce resilience and save on labor costs with science-backed talent selection.
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