Erlanger adds 220 surgical cases per month with Qventus AI-powered surgical growth platform

Erlanger deployed Machine Learning & Predictive Analytics for Surgical & Perioperative Care in Hospital & Health System. As reported by www.qventus.com: 220 additional surgical cases per month.

Maintained by Peter Korpak, Lead EditorHow evidence is checked
220Additional Surgical Cases Per Month
5xAnnualized ROI
~25%Robotic Surgical Volume Growth (YoY)

Source-reported figures (cited source: www.qventus.com)

What Erlanger was trying to fix

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.

What Erlanger deployed

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.

Results

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.

Key Takeaways

  • Deep implementation partnership—embedding the vendor team in frontline clinical workflows—was critical to broad adoption across 98 surgeons in a relatively short period.
  • ML-driven nudges that respect individual surgeon preferences (rather than blasting all available slots) drove higher engagement and meaningful behavior change.
  • Targeting strategic objectives like robotic utilization directly in the scheduling automation enabled Erlanger to maximize high-value asset ROI alongside volume growth.

Evidence for Erlanger's Surgical & Perioperative Care deployment

Reported outcome metrics
3 cited below
Cited source
www.qventus.com
Last updated
Source link checked

Share:

Vendor

Favicon of QventusQventus

Have a similar implementation?

Share your customer's AI results and link it to your vendor profile.

Submit a case study →