United StatesHealthcare and life sciences2025 – ongoingBon Secours Mercy Health
Atalan clinician retention intelligence
Bon Secours Mercy Health expanded clinician retention monitoring after an Atalan pilot
Problem
Health system leaders struggled to identify clinician stress before it led to resignation. Workload signals were difficult to assess manually across separate operational systems.
Approach
Bon Secours Mercy Health piloted Atalan's machine learning platform to identify departure risks from operational data. Leaders used the signals to intervene earlier. The reported impact prompted expansion, while a separate patient-experience module remained in development.
Results
No published figures
Takeaway
Operational leaders reported that the signals helped them support physicians earlier. The health system withheld market-specific results, so the reduction in turnover was not disclosed.
Categories
- Size
- Large enterprise
- Industry
- Healthcare and life sciences
- Business function
- Human resources
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Partner co-development
- Goal
- Quality and risk
- Evidence
- Company's own claim
Sources
Source summaries
A health system executive described a regional pilot that prompted broader expansion. The interview explained how operational data informed clinician support, without disclosing local retention figures.
Full details are in the original sources.
