Case Study: Allina Health achieves 3.5 extra cases per OR per month and 3x robotic case volume with Qventus Perioperative Solution

A Qventus Case Study

Preview of the Alina Health Case Study

Alina Health Optimizes EHR Functionality with Qventus

Alina Health, a large not‑for‑profit health system serving Minnesota and nearby Wisconsin with 12 hospitals and 36 ORs at its Abbott‑Northwestern flagship, faced antiquated manual scheduling, poor block‑time utilization, and difficulty matching specialized resources (robotic ORs, intra‑operative MRI) to surgeon needs. To reduce variability, improve surgeon/staff/patient satisfaction, and grow surgical capacity, Alina adopted Qventus’ AI‑powered Perioperative solution.

Qventus automated scheduling with predictive block‑use analytics, TimeFinder and Available Time Outreach to nudge releases, match cases to open slots, and fill openings proactively. In the first three months at Abbott‑Northwestern Alina gained 132 hours of OR capacity, added about 3.5 cases per OR per month (33+ cases/month via ML automations), achieved a 36% increase in robot utilization and 3× robotic case volume, and recorded 97% OR request acceptance and 79% of time requests filled within 60 minutes — results prompting a systemwide rollout of the Qventus solution.


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Alina Health

Bill Evans

VP Surgical Services & Orthopedics


Qventus

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