How Cone Health's Cancer Center Utilized Predictive Analytics to Reduce Appointments Running Beyond Operating Hours by 80%
Tuesday, October 8th, 2024 | 1:00 PM - 2:00 PM CT
Like many health systems, Greensboro, N.C.-based Cone Health faced nursing shortages in recent years — unlike many systems, however, Cone Health was able to maximize patient access during that time by 11% without overburdening constrained staff.
In this live webinar, Cone Health nursing leadership will share how implementing predictive analytics at their infusion centers in 2019 empowered the team to enhance patient experience, reduce costs through optimized scheduling, and efficiently allocate staff in the years to follow.
Join us to learn Cone Health's outcomes to date — all achieved with existing resources — including:
In this live webinar, Cone Health nursing leadership will share how implementing predictive analytics at their infusion centers in 2019 empowered the team to enhance patient experience, reduce costs through optimized scheduling, and efficiently allocate staff in the years to follow.
Join us to learn Cone Health's outcomes to date — all achieved with existing resources — including:
- 8% increase in daily completed volumes
- 25% decrease in average infusion wait times
- 78% reduction in appointments running past closing time