Stay ahead of staffing needs, reduce premium labor, and keep your workforce steady when it matters most with symplr Smart Square®.
Healthcare organizations using Smart Square® are achieving measurable improvements in workforce stability and labor cost control.
in nursing labor savings across a multi-hospital system
in labor management savings in a single year
in scheduling costs through Smart Square®
By aligning staffing to patient demand, teams reduce overtime, premium labor, and last-minute adjustments.
Accurately forecast patient volume up to 120 days in advance to build proactive, data-driven schedules.
Uses an automated variable incentive model to help organizations fill shifts faster while staying aligned with budget goals. Transforming scheduling from reactive to proactive—empowering staff to pick up shifts earlier with confidence.
Centralized, enterprise deployment of flexible labor strategies—including resource pools and float teams—to maximize coverage with the lowest effective cost per hour
Built-in reporting and productivity analytics help leaders monitor staffing performance and continually improve models.
symplr Smart Square® is recognized as Best in KLAS for nurse and staff because it helps health systems align staffing to demand, reduce labor costs, and improve workforce stability.
AI-driven predictive analytics look up to 120 days out, giving managers a clear view of staffing needs before the pressure hits. Every shift gets the right coverage and skill mix to support safe, efficient care without last-minute scrambling.
Automated open-shift management and flexible incentives help fill vacancies early to avoid chaos. So, your teams can spend less time hunting for hours and more time focused on patient care, leading to stronger morale and less burnout.
Fill up to 75% of open shifts early
Flexible, transparent self-scheduling gives staff more control and confidence in their work-life balance. Fairness, predictability, and trust grow naturally, strengthening engagement and helping teams feel valued.
Centralized dashboards bring every unit’s staffing, utilization, and productivity into one clear view. Leaders can make proactive adjustments, support high-demand areas, and coordinate staffing across the system with ease and confidence.
Accurate forecasting and automation reduce reliance on overtime, incentives, and premium labor. Smarter staffing choices strengthen both clinical operations and financial performance.
Smart Square® combines predictive analytics, automation, and flexible scheduling tools to help healthcare organizations improve coverage, efficiency, and staff satisfaction.
Forecast staffing needs up to 120 days in advance with 96 percent accuracy. Predict patient volume and align schedules to actual demand before shortages occur.
Forecast staffing needs up to 120 days in advance with 96% accuracy.
Automate shift communication and bidding to fill up to 75 percent of open hours early. Reduce overtime and keep managers focused on patient care.
Fill up to 75% of open hours early
Gain a centralized view of staffing across departments and facilities. Share resources, improve utilization, and make data-driven deployment decisions.
Give staff flexibility and fairness while maintaining coverage requirements. Support both union and non-union scheduling environments.
Manage pre-scheduled on-call needs and send rapid notifications for last-minute openings. Fill critical shifts quickly and reduce administrative time.
Connect to HR, payroll, timekeeping, and EMR systems for a single source of truth. Simplify data exchange and improve accuracy across platforms.
Integrates with 30+ HR, payroll, and EMR systems
Predictive scheduling uses AI analytics to forecast patient demand and staffing needs in advance, allowing hospitals to schedule proactively instead of reactively.
AI evaluates historical data, patient volume, and skill mix to recommend optimal staffing levels. This helps nurse leaders balance workloads and reduce overtime.
Self-scheduling gives clinicians more flexibility and control over their shifts, increasing satisfaction and reducing turnover.
Our predictive model uses proprietary mathematical modeling techniques and machine learning. Updated weekly, the predictions pass through the staffing matrices for each unit/service area, identifying predicted patient demand versus staff supply. These predictions fuel open shift management, cost- effectively increasing fill rates as shifts approach.
Discover how AI-powered scheduling helps your organization fill shifts faster, balance workloads, and improve satisfaction across every department.
