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symplr Launches AI-Powered Time and Scheduling to Unify Workforce Operations

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symplr Launches AI-Powered Time and Scheduling to Unify Workforce Operations

The launch unifies two foundational pillars within symplr’s product portfolio: the predictive staffing models of its Best in KLAS Nurse and Staff Scheduling technology (rooted in Smart Square) and its dedicated healthcare timekeeping engine.

While general-purpose enterprise workforce software struggles with healthcare’s fragmented union contracts, on-call differentials, and shift-rotation constraints, symplr Time and Scheduling embeds compliance guardrails directly into the scheduling canvas:

The company plans to build further on this foundation in 2027 by introducing specialized AI capabilities for automated timecard exception corrections and dynamic scheduling rule configuration.

For bedside nurses and nurse leaders, manual scheduling has long represented a hidden tax on clinical capacity. In an environment marked by persistent nursing shortages and rising workplace fatigue, rigid shift structures often drive frontline clinicians away from traditional hospital employment toward gig staffing agencies that offer greater schedule autonomy.

Ali Morin, Chief Nursing Informatics Officer at symplr, highlighted the clinical impact: “Nurse leaders shouldn’t have to spend hours building schedules and scrambling to fill open shifts when they could be supporting their teams and patients. Nurses want more flexibility and predictability, while health systems need the right people in the right place at the right time. We designed symplr Time and Scheduling to deliver both, giving nurses and nurse leaders more time for patient care and less time managing the work around it.”



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