13,000 excess hospital days saved. OhioHealth’s response wasn’t to stop there. They handed Qventus two more care settings.
A while back I went to pick up my grandma (her chosen name is Ammaw, by the way) from an inpatient rehab unit after she took a scary tumble. Every person in that building was wonderful to her and to us. But it still took hours to get her out the door.
All I needed was a few pieces of paper and her prescriptions, and every nurse on that floor was busy taking care of patients, which is exactly where they should have been. Hand me the discharge packet when I walk in and I’ve got her in the car in 5 minutes.
Nobody did anything wrong that day. What sat between Ammaw and her own couch was paperwork, a signature, and a phone call to a lab and pharmacy. Multiply that across every bed in a health system and you’ve got the problem Qventus built a company around, and is driving material value for health systems across the country.
Qventus calls itself the automated care operations platform of choice for health systems. Their team is the layer that automates the administrative jams gumming up patient flow:
- the calls,
- the faxes,
- the lab confirmations that eat a nurse’s afternoon so one patient can go home.
Qventus already has an awesome track record in this space and their results speak for themselves. More often than not, health systems like OhioHealth working with Qventus choose to expand their relationship into additional care settings. Some are even working with Qventus in a sandbox, forward deployed environment as their innovation partner of choice for all things technology and enterprise AI diffusion.
Health systems don’t hand a vendor more of their operation on faith. They do it when the ROI from the first deployment was real enough to justify a second bet.
Qventus the Platform, in 30 seconds
Three solutions make up the core of the Qventus platform:
Inpatient Capacity — automates discharge coordination and transitional care management to cut excess length of stay and free up beds without a single new construction dollar spent. (AKA the one that would have gotten Ammaw home before lunch.)
Surgical Growth — Much more than a scheduling tool (though it does that too). Surgical growth reads historical case patterns and block usage, predicts which blocks probably aren’t getting used, and nudges surgeons and schedulers to release or fill them. Erlanger Health System in Tennessee runs it with a large independent surgeon population, where easy scheduling is what keeps those cases from walking across town. This same engine optimizes robotic OR utilization, and several clients have found enough compounding returns out of the $3 million robot they already own to justify buying another one. Nice flywheel.
Perioperative Care Coordination (PCC) — automates pre-admission testing outreach so patients show up eligible: fasted, off their GLP-1 on schedule (you’d be surprised how many surgeries nowadays get canceled by folks forgetting they can’t take GLPs the day of), prepped days in advance rather than discovering the problem at 6 AM on surgery day. ROI shows up as day-of cancellations that don’t happen.
In February, Qventus added a Care Gap and Coding Automation Suite, starting with malnutrition. Embedded in the provider’s EHR workflow, it scans unstructured chart data and labs for risk signals and automatically routes a dietitian consult instead of throwing up a flag for a clinician to click past. And the timing here is deliberate considering malnutrition is one of the most heavily audited conditions a hospital can code for, and CMS is moving to weight it more heavily. Catching it on day 1 instead of day 4 is worth real money and less CDI cleanup after the fact.
As of this writing, the Qventus platform runs in more than 150 hospital facilities. To call out one happy partner, HonorHealth has saved more than 50,000 excess days and $62 million over 3 years.
Across the client base you’ll hear the same HonorHealth story. Qventus delivers.
Breaking Down OhioHealth’s Journey with Qventus
OhioHealth started with the Inpatient Capacity Solution. Across the partnership to date, they’ve saved over 13,000 excess hospital days, leading to excellent throughput and length of stay management. For you math whiz kids out there, 13k days translates to almost 35 patient-years returned to people who otherwise would have spent them in a hospital bed. These YEARS also create economic returns. $5.1 million in cost savings, in fact, and nearly 2,900 hours of administrative work automated off frontline staff.
Let’s double click on the 13,000 day number for a second. What’s happening under the hood? 3 things are happening at once.
- Direct cost avoidance on the unnecessary stay.
- Lower readmission risk, since longer stays statistically raise readmission odds. And
- Recovered coding opportunity, because a health system can only code so much during any one admission. Days 4 and 5 of a stay that should have ended on day 3 cost money and crowd out the next patient waiting on that bed.
That track record is why OhioHealth recently expanded to Surgical Growth and Perioperative Care Coordination, enterprise-wide, with the automation logic from Qventus that fixed discharge bottlenecks now fixing OR utilization, surgical cancellations, and coding accuracy across the system.
Let’s talk about the money
Health tech marketing tends to lead with patient outcomes and treat dollars as a footnote. Qventus’s second annual CIO report, built on interviews with more than 60 CIOs, Chief AI Officers, and CMIOs, makes the case for reversing that order. More than 70% of health system leaders now rate automated care operations platforms “very critical” or “mission-critical” to their 2026 objectives. Only 4% have achieved scaled AI implementation with measurable outcomes.
Faster OR turnover means more revenue per minute in the most expensive room in the hospital. And a lower length of stay pulls financial performance and patient experience in the same direction at once.
That framing is also why “guaranteed ROI” works as a differentiator here. 53% of health systems cite a lack of vendors willing to guarantee ROI or share outcome risk as a top obstacle. 59% now say guaranteed ROI or a risk-sharing pricing model is a precondition for any AI partnership. Vague roadmaps are losing to numbers somebody will sign their name to. Qventus knows this, works it into their partnerships, and works as a true partner alongside client health systems.
Trust compounds, and so does the platform
OhioHealth’s story (read the full version here) is a great personification of what happens when you pick the right partner in an area of strategic importance. Trust compounds, and health systems reinvest in what that trust earns them: another robotic OR, a program to close malnutrition care gaps, a forward-deployed engineering team through Qventus’s AI Solution Factory model, which co-builds custom automations alongside a system’s own IT staff. (Allina Health was the first client in that model).
And this consolidation instinct isn’t unique to OhioHealth. 72% of health systems would prefer one comprehensive AI partner managing multiple use cases. 11% currently operate that way.
I’ve written before about the difference between a system of record and a system of action. EHR vendors own the record, and they’re going to own it for a long time. Whether they also own the intelligence layer sitting on top of it — the part that reads the chart, makes the call, places the order, and moves the patient — is an open question, and it’s the gap Qventus is betting on. The Qventus team wants to be the partner who keeps proving ROI care setting by care setting until automated care operations work across the health system enterprise. A true system of action intelligently spearheading initiatives to drive better economic and patient outcomes. This is the future we want, and Qventus is a part of it. Let’s get after it, fam.
Ammaw got home eventually. Hours after she could have. Every CIO reading this is sitting on some number of excess days right now. It’s time to figure out where your gaps lie, and Qventus is a great place to start drilling into the details.
