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Welcome to the healthcare scheduling software and productivity solution that combines advanced workforce demand forecasting with robust scheduling functionality to solve healthcare staffing challenges. AMN Healthcare and Avantas bring healthcare staffing into the future with technology-enabled services and intuitive tools, improving productivity in healthcare and increasing overall efficiency.
Hospitals and other healthcare facilities grapple with staffing challenges every day. In many units, medical scheduling is done on the fly, resulting in shortages, labor cost overruns and many other inefficiencies and problems. Research shows these challenges can undermine healthcare’s most vital objectives, including:
What if, instead of planning only for the next shift, you could plan accurately for the next 120 months and fulfill those plans? As healthcare staffing joins the age of algorithms, predictive analytics in healthcare make it possible.
The science of healthcare workforce planning begins with gathering healthcare staffing intelligence ranging from historical census data to local weather trends, along with incorporating best management practices for better data alignment. The result? Medical scheduling software from Avantas that uses predictive analytics and business intelligences to provide a centralized resource management for staffing forecasts 90-120 days out. Predictive modeling in healthcare in action!
Once an accurate staffing forecast is developed, the healthcare enterprise or individual unit can determine its particular staffing needs. As an expert staffing partner, AMN Healthcare is the critical next component, fulfilling workforce needs with a comprehensive network of healthcare professionals and innovative workforce solutions such as Managed Services Programs (MSP) and Recruitment Process Outsourcing (RPO).
AMN Healthcare, the leading innovator in workforce solutions and healthcare staffing services, joins forces with Avantas, developer of the science of workforce planning and demand forecasting, to demonstrate what predictive modeling in healthcare can do for your patient care outcomes, for the satisfaction of your patients and clinicians, and for your bottom line.
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