Vendor-reported figures — source: works.ai
Mercy, a 50-hospital system, faced escalating nurse staffing shortages, rising labor costs, and nurse burnout driven by post-pandemic attrition and an aging nursing workforce. Manual scheduling processes managed across spreadsheets and email made it impossible to efficiently allocate nurses across all labor pools. Agency dependency had skyrocketed during the pandemic, and nurse managers were burdened with last-minute phone outreach to fill shifts.
Mercy implemented Works, a digital workforce management platform, to centralize scheduling across all nurse labor pools—core, flex/gig, and agency—in a single system. The platform uses AI-powered dynamic pricing to automatically calculate incentive rates based on real-time supply and demand, match credentialed nurses to open shifts, and push notifications via mobile app. Scheduling flexibility was extended to include 4-, 6-, 8-, 10-, and 12-hour shift options matched to patient census demand.
Within one year of implementation, bedside FTEs increased by 3.5% and nurse turnover dropped by 9%. Mercy improved overall fill rate, reduced agency labor dependency, and lowered total premium spend. The platform's AI continuously refined its incentive calculations over two years, reducing wasted spend on unfilled shifts and eliminating manual manager intervention for last-minute staffing needs.
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AI Roadmap — Two hours charting for every hour with patients. Prior auth eating your back office. Both fixable, in the right order. 12 pages, 72 hours.