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Swift™ AI Scheduling Copilot: A New Era for Nursing Teams

In a pioneering move, vflok™ Inc. has introduced the Swift™ AI Scheduling Copilot to Wellstar Health System, significantly enhancing operational efficiency for over 8,000 nurses and non-clinical staff across its 11 hospitals in Georgia. After an impressive pilot program spanning six months at three hospitals, this innovative workforce solution is set to redefine how nursing teams manage their schedules.

The standout feature of Swift is its ability to drastically reduce the time spent on scheduling administrative tasks. During the pilot, the implementation of Swift cut down the change management time for nursing staff by an incredible 86%, while nurse managers benefited from a staggering 96% reduction in time spent on these administrative tasks. The simplicity of using Swift through SMS text or chat means that anyone who can text knows how to utilize this system without needing to log into a separate scheduling platform.

Susan Thurman, VP of Nursing Practice and Clinical Integration at Wellstar, emphasized the impact of Swift: "This tool has alleviated the burden on nurse managers, enabling them to prioritize patient care and team support rather than getting bogged down in staffing and scheduling logistics." With Swift, nurses can devote more time to the patients they serve, leading to improved patient outcomes and heightened job satisfaction among staff.

How Swift Works

Swift integrates advanced Generative AI with sophisticated machine learning algorithms to streamline scheduling for front-line healthcare teams. This technology reduces the administrative load placed on nurse managers by optimizing workforce allocation, adjusting for individual preferences, historical behaviors, and real-time constraints. This results not only in improved flexibility for nursing schedules but also in significant cost reductions in labor by minimizing the reliance on contract workers.

Swift employs an agentic AI system that can manage conversations and schedule changes autonomously. It utilizes its algorithms to predict which resources, or staff members, are more likely to accept open shifts quickly. Each function within Swift—whether it's sourcing cover staff, communicating changes, or updating schedules—is fully automated, removing the inefficiencies typically faced by nursing teams in scheduling management.

Future Developments

Looking ahead, vflok plans to enhance Swift further by unveiling additional AI-driven solutions aimed at continuing to ease the workload of nurse managers. Upcoming features include auto-balancing capabilities that can shrink the time spent on managing schedules from hours to mere minutes and a solution focusing on internal contingency ('Float') teams. These innovations promise to keep pushing the boundaries of what efficient scheduling looks like in healthcare settings.

Conclusion

The launch of the Swift™ AI Scheduling Copilot marks a significant advancement for the Wellstar Health System, customizing the healthcare environment's approach to staffing challenges. As this solution spreads across Wellstar's network, it sets a benchmark for more healthcare systems to follow in leveraging technology for enhanced employee and patient experiences. For more insights and updates on vflok and Swift, visit vflok.com.