CUSTOMER SUCCESS STORY

Powering Strategic Surgical Growth and Robotics Program Optimization

Regional IDN
Minnesota & Wisconsin
Epic EHR
12 facilities
THE CHALLENGE

Misutilized OR capacity, frustrated surgeons

As an Epic Gold Star health system, Allina wanted to augment its EHR to drive strategic surgical growth and become a center of excellence for surgical care. But they were saddled with manual, inefficient surgical scheduling processes and underutilized block time. Unused block time wasn’t released quickly or strategically enough to backfill with other surgeries.

By addressing these challenges, Allina was not only able to increase overall surgical volume, but also maximize utilization of robotic assets, improve staff satisfaction, and capitalize on new market opportunities.
QVENTUS DEPLOYMENT

We helped streamline surgical processes across their operations

The Qventus Surgical Growth Solution goes beyond simply increasing OR availability. Rather, it uses AI and machine learning to proactively fill ORs with the cases that matter most—delivering an average of over 11X ROI across clients

Our algorithms are dynamically personalized to your surgeons’ preferences, intelligently matching open OR slots to the best-fit surgeons and eliminating first-come, first-served inefficiencies.

“We needed to provide best-in-class access for our surgeons, because if we didn’t, they were going to find other health systems and other ways to get that access.”

Bill Evans
Senior VP of Ambulatory Operations, Allina Health

RESULTS

Qventus impact

Qventus-affected Contribution Margin in 2024
$ 0 M
of OR capacity saved per quarter
0 hrs
Robotic cases added per quarter
0 +
Annualized ROI
0 x
SOLUTIONS

What we deployed for Allina Health

Qventus Surgical Growth Solution

Simplifying surgical scheduling: Qventus’ digital booking interface, TimeFinder, enables schedulers to easily find open time slots. Surgeons and their schedulers can view relevant
OR time in seconds in an intuitive interface, without having to
log in to the EHR. Qventus algorithms intelligently 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.

Improving block time utilization: Our block release features proactively engage surgeons and schedulers to incentivize block release weeks in advance of auto-release. Qventus ML models predict with high 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.

Proactively filling unused slots: 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’s strategic objectives such as growing targeted service lines or improving robotic utilization.

Maximizing robotics: The da Vinci Optimizer maximizes ROI for high-value robotic assets with automated, ML-driven personalized communications to move non-robotic cases from robotic rooms, and strategically market time to robotics surgeons to fill white space with robotic cases.

SOLUTIONS

What we deployed for Allina Health

Inpatient Solution

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.

A close-up view of a surgeon in a headlamp who represents the surgical services team at M Health Fairview

Future Solution

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Two healthcare professionals check in on a hospitalized patient in a facility representing M Health Fairview

Future Solution

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Two healthcare professionals check in on a hospitalized patient in a facility representing M Health Fairview

Future Solution

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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.

Two healthcare professionals check in on a hospitalized patient in a facility representing M Health Fairview
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