Healthcare Applications

Automated & Personalized Workforce Optimization

Our AI builds custom schedules in seconds

  • Reduce burnout & boost retention
  • Increase caregiver satisfaction
  • Improve quality of care
  • Save time & costs
  • Handle the unexpected with ease
  • Eliminate perceived bias and human error

The Problem

Nurse turnover costs US hospitals $12B/year. Five of the top 10 reasons nurses leave the workforce can be impacted by improving schedules.

Staff schedulers spent more than 20 hours of time on the administrative task of scheduling. That time equates to staff not providing direct patient care.

Legacy scheduling systems provide no objective staffing insights on which leadership can base changes.

How We Solve the scheduling problem

Introducing Balance Scheduler
Automated Workforce Optimization at Scale

Gain the Capacity to Scale & Expand Across Departments

Manager Landing Page: Dashboard (2 mins)

Adding and Importing Staff (4 mins)

Customized

  • Fully personalized schedule output every time
  • All organizational and union requirements met for every schedule
  • Increased employee satisfaction
  • Better utilized personnel

Fully Automated

  • Initial schedule development run-time: less than 15 minutes
  • Instantly address schedule breakages/call-offs

Actionable Insights

  • Balance your personnel, assets, & skillsets analytics display trends & utilization for strategic planning

Setting Agnostic

  • Personalized to inpatient, outpatient, long-term care, etc
  • One scheduling product for all facilities within a system, all floors within a facility

How It Works

Balance Scheduler uses proprietary AI algorithms to automatically solve multi-goal optimization challenges including shift and task scheduling and rescheduling.

Employee Preference Guide (5 mins)

Running a Schedule, Self Scheduling, Templated Scheduling (8 mins)

Setting up Departments
(8 mins)

Shift Swap and Approvals
(3 mins):

Employee Landing Page: Calendar (3 mins)

Healthcare Related Impacts

  • 56% improvement in schedule satisfaction
  • 99% improvement in time to schedule
  • 30% decreased in perceived bias of scheduler
  • Goal:
    • Decreased staff turnover
    • Improved quality of care
    • Improved patient and staff engagement

References

An organizational design perspective on the monthly self-scheduling process in nursing homes: A multiple case study

Work schedule flexibility is associated with emotional exhaustion among registered nurses in Swiss hospitals: A cross-sectional study

The effect of self-scheduling on organizational justice and work attitudes through leader-member exchange: A cross-sectional study using propensity scores

Skip to content