Erlanger Health System’s goal was to grow volumes for their strategic service lines and increase the utilization of their high-performing robotics assets, but their existing tools and limited EHR capabilities were not helping achieve their goals.
Erlanger sought a partner to drive growth, make their organization a system of choice for independent surgeons, and optimize their OR assets.
Erlanger selected the Qventus Surgical Growth Solution for its ability to empower the health system to strategically grow surgical volumes, enable them to attract independent surgeons, and ensure that they have robotic access to grow their robotics program.
Surgeons who have used Qventus’ platform on average grow 10% more. In addition, Robotics surgeons who engage with Qventus’ Surgical Growth Solution are on average seeing a more than 25%+ increase in volume.
“The platform has become an integral part of how we optimize our OR operations, and the engagement from our surgeons speaks volumes about its value.”
Misti Mattox
Senior VP of Surgical Services, Erlanger
TimeFinder: Surgeons and their schedulers can view relevant OR time in seconds in an easy to use interface without having to log in to the EHR. Qventus algorithms predict the wheels-in to wheels-out case length based on the surgeons’ past performance, CLE trends at the surgeon and department level, time of day, and more, allowing the prioritizing and requesting of available surgical slots.
Block Release: Proactively engages surgeons and schedulers to incentivize block release weeks
in advance of auto-release. Qventus ML models predict with confidence which partial or full blocks are unlikely to be used up to a month in advance and send schedulers timely and actionable emails to release those blocks, ultimately helping to increase their utilization scores.
Available Time Outreach (ATO): Automatically markets time to surgeons who are the best
fit based on practice patterns, past booking behavior, case mix, average case lengths, and more, removing the burden on schedulers of manually calling to fill time. Qventus AI and ML models continuously calculate a fit score for all surgeons for all available open time and prioritize the health system strategic objectives, such
as growing targeted service lines or improving robotic utilization.
Robotic Optimizer: Maximize ROI for high-value robotic assets with automated and ML-driven personalization communications that strategically market time to robotics surgeons to automatically fill white space with robotic cases.
Simplifying surgical scheduling: Qventus’ digital booking interface, TimeFinder, enables schedulers to easily find open time slots. The software determines the best-fit slots for any given case—factoring in things like day of week, time, the type of room and any special equipment needed, duration of procedure, and more—and offers a list of available slots that most closely fit the criteria. The clinic scheduler can book the time and submit the case request information with just a few clicks.
Improving block time utilization: Machine learning algorithms learn from a surgeon’s historical practice patterns and use that data to predict, up to a month in advance, time within each surgeon’s block that is unlikely to be used. When the system identifies a slot with a significantly high probability of going unused, it sends an automated “nudge” to the surgeon’s scheduler, requesting a release of the slot. To incentivize the release, the nudge includes a calculation of how much the release will improve the surgeon’s block utilization rate.
Proactively filling unused slots: Under a manual process, unused slots are often filled with the first available procedure, rather than the most appropriate one. The Qventus Perioperative Solution’s Available Time Outreach functionality analyzes the characteristics of available slots, matches them with surgeons’ predicted needs, then offers the best-fit slots via email to the surgeon who’s most likely to use it and who also represents the highest value to Banner Health. The scheduler can accept or decline with a few clicks. If they decline, the system automatically moves to the next most likely candidate.
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Ut blandit pulvinar volutpat. Cras egestas sem turpis, non accumsan justo cursus viverra. Proin ipsum arcu, dignissim a enim eu, tristique eleifend orci. Etiam commodo dignissim nisi, sed finibus metus auctor in. Nulla venenatis porttitor risus non pretium. In rhoncus tempor mauris. Orci varius natoque penatibus et magnis dis parturient montes, nascetur ridiculus mus.