United StatesHealthcare and life sciences2021 – ongoingCentene
Choose Tomorrow machine-learning suicide-risk outreach
Centene reported connecting 100% of Choose Tomorrow enrollees to supportive services through a program using machine-learning risk profiles
Problem
Inconsistent screening and gaps in care coordination made suicide-risk identification and early support difficult.
Approach
Centene's Choose Tomorrow program used machine learning to generate individual risk profiles. Clinical experts and data scientists developed the model's parameters. Care managers used the reports to guide screening and referrals, while moderately at-risk members could receive app-based support.
Results
Takeaway
The reported outcomes covered a program combining risk prediction with human care. Centene did not isolate the model's effect on suicide claims.
Categories
- Size
- Large enterprise
- Industry
- Healthcare and life sciences
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Built in-house
- Goal
- Quality and risk
- Evidence
- Company's own claim
Sources
Source summaries
Centene described model-guided outreach within Choose Tomorrow. It reported supportive-service connections for all enrolled members and an 8% reduction in suicide claims across all members in 2023.
Full details are in the original sources.