Predict workforce needs accurately and allocate staffing hours to avoid staff overwork and worker burnout
Our solution can help to quantify ways to identify the challenges in employee turnover, employee satisfaction, which are directly correlated to hospital productivity and care outcomes. We can help you predict workforce needs accurately and allocate staffing hours to avoid staff overwork and worker burnout.
Benefits & Features
Automates routine tasks, increase workforce productivity, predict future staffing demands
Fair and Consistent scheduling by matching patient demand with staffing supply
Decrease healthcare staff burnout leading to medical errors, risk of malpractice decreasing quality of care
Optimize workforce based on need, compensation, and experience
Save $100,000 - $2 million cost in hiring and training new employees
Hospital Staffing Optimization
Improve Patient Care and Curb Staffing Costs
One of the main issues faced by the Healthcare industry is the inefficient allocation of resources, and in particular of human resources, inability to accurately predict workforce needs and allocate staffing hours causing inefficiencies, physician frustration and burnout, increasing costs, and a diminished patient experience.
Hospitals can anticipate their staffing needs through an algorithmic system that can optimize the schedule, by scheduling the right staff at the right times based on several factors such as
- Recurring department meetings
- Physician shift preferences
- Fair on-call time management
- Holiday and vacation distributions
- Residency schedule restrictions
- Recovery time after overnight shifts
Automate tasks with our workforce optimization module
Verifying number of tasks, availability, and number of service calls to be made.
Assigning technicians to tasks.
Worker schedule distribution
Contacting via a call, email, text, or other form of notification.
Making changes to a schedule as needed, for issues such as weather, cancellations, and unexpected absences.
Post-schedule efficiency analysis
Learning from past scheduling mistakes and using them to inform future capacity planning.
AI can eliminate routine tasks for medical staff such as updating medical information, info administration, operational duties, scheduling patients visits