Vendor-reported figures — source: www.qventus.com
Erlanger faced significant OR inefficiency, with over 30% of block time going unused and robotic rooms being filled with non-robotic cases. Independent surgeons were taking cases to competing facilities, while schedulers spent hours on manual phone calls and faxing. Leaders lacked real-time visibility into referral patterns, splitter surgeons, and true growth opportunities.
Erlanger deployed Qventus' Surgical Growth Solution, which uses ML-driven automation to continuously optimize OR scheduling. Key components included TimeFinder (predicting case lengths and matching available slots), Capacity Assistant (proactively engaging surgeons to release blocks weeks in advance), Strategic Marketing Assistant (automatically marketing time to best-fit surgeons), and a Robotics Optimizer for maximizing robotic asset utilization.
Within six months of go-live in June 2025, Erlanger added 220 surgical cases per month compared to the same period the prior year. Nearly 12 additional OR hours per room per month were generated through intelligent block release nudges, and robotic surgical volume grew nearly 25% year-over-year for engaged surgeons. Break-even was achieved in under 3 months, with the health system on track for a 5x annualized ROI.
Have a similar implementation?
Share your customer's AI results and link it to your vendor profile.
Submit a case study →