United StatesHealthcare and life sciences2025 – ongoingWellstar Health System
Swift AI scheduling copilot for nursing teams
Wellstar reported 96% less scheduling change-management time for nurse managers in a Swift pilot
Problem
Nursing teams handled schedule changes through administrative workarounds. Managers spent time coordinating coverage and updating scheduling systems.
Approach
Wellstar piloted vflok's Swift copilot at three hospitals for six months. It combined generative AI with machine learning to coordinate coverage conversations and execute schedule changes. Most users interacted through SMS or chat, and Wellstar announced a wider rollout after the pilot.
Results
Takeaway
The reported savings concerned time spent managing schedule changes during the pilot. They did not measure reductions in total nursing hours.
Categories
- Size
- Large enterprise
- Industry
- Healthcare and life sciences
- Business function
- Human resourcesProduction and quality
- Innovation type
- Process innovation
- AI technology
- Generative AIAI agentsPredictive analytics and ML
- Adoption
- Vendor solution
- Evidence
- Company's own claim
Sources
Source summaries
Wellstar reported results from a six-month pilot at three hospitals. Scheduling change-management time fell 96% for nurse managers and 86% for nurses and support staff.
Full details are in the original sources.
