A machine learning and advanced analytics mobile and SaaS platform for healthcare workforces
Client: The Optimé Group provides an integrated suite of technology, workforce analytics, best practices and outsourced leadership to optimize staffing within U.S.-based healthcare facilities. Its Software as a Service (SaaS) solution is an integrated, end-to-end technology platform that manages all operational staffing functions and supports the healthcare organization’s executive team in strategic decision-making.
Challenge: The client had the vision, the healthcare industry experience, and staffing background; it needed a development partner to execute the technology side of the solution. Healthcare staffing is a complex function with many moving parts. Patient demand fluctuates hour by hour, day by day, and season to season; the workforce behaves differently in varied economic environments; employees have unpredictable requests for time off, and union contracts and hospital rules must be taken into account. Increasingly, state laws mandate health provider staffing ratios. An optimization solution that incorporated all of these variables was needed.
Solution: The software solution integrated disparate data, applied statistical rigor and delivered predictive utilization models. These models, combined with detailed information and analytics on the supply of nurses, feed into an optimization engine that created the most appropriate schedule possible. This combined information can be displayed in a series of easy-to-use dashboards that inform day-to-day scheduling of nurses and other healthcare team members.
Additionally, SSI developed specific modules that address budgeting, staffing and vendor management. Lastly, an easy-to-use, remotely accessible web portal was deployed to enable nurses to better manage the balance in their work and personal life activities.
Result: SSI helped The Optimé Group achieve dramatic, quantifiable results for its healthcare clients. Optimé has reduced its clients’ variable staffing costs by 5% to 9% and increased staffing office productivity by 70%. This has led to new clients signing on to the solution.