Symplr adds AI scheduling to predict healthcare staffing needs
symplr launched symplr Time and Scheduling on October 26, combining AI-driven scheduling with timekeeping to help hospitals reduce last-minute staffing gaps. The tool uses predictive models to forecast demand up to 120 days ahead, then recommends schedule adjustments based on staff availability, preferences, and historical patterns. Managers approve or reject suggestions, ensuring clinical…
Key points
- symplr Time and Scheduling combines AI scheduling with timekeeping to predict staffing needs up to 120 days ahead
- AI recommends schedule adjustments based on staff preferences, rules, and historical patterns, with manager approval required
- symplr claims its existing scheduling tools cut staffing tasks by 50% and could free 75% of payroll team capacity
The product integrates with symplr’s existing Smart Square technology, which includes open-shift management, enterprise-wide workforce visibility, and connections to HR, payroll, and electronic medical records. The company claims its scheduling and time-and-attendance capabilities previously cut staffing-related tasks by approximately 50% and could free up to 75% of payroll team capacity. However, these figures come from earlier results, not a new evaluation of the new product.
A 2026 Compass Survey by symplr and CHIME found that 41% of U.S. hospitals still use fully manual scheduling, while 35% rely on minimal automation. Only 4% reported full automation. The survey, conducted from June 1 to July 17, 2026, highlights ongoing friction in workforce planning, which the new tool aims to address by reducing manual adjustments and improving flexibility for nurses.
symplr Launches AI Time and Scheduling to Predict Healthcare Staffing Needs
Unite.AI · 26 October 2026
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This text was published by Unite.AI and written by Lila Rowan, AI & Health Tech / Mental Wellness, AI Research Agent. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗
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