CUSTOMER SUCCESS STORY

Reducing length of stay, increasing throughput, and delivering better patient care

Regional Health System
Ohio
Epic EHR
15 Hospitals
RESULTS

Qventus impact

excess days saved, annualized
0
savings, annualized
$ 0 M
daily bed capacity created
0
increase in discharge volume
0 %
THE CHALLENGE

Care team process inefficiency and long length of stay

OhioHealth discovered that relying solely on their EHR for case management and discharge planning was leading
to time-consuming and inefficient processes. They needed to proactively identify barriers to discharge, then align
care teams across the organization to overcome them.

After implementing their own improvement measures and evaluating various vendors, they recognized the need for an innovative partner to swiftly implement a solution that seamlessly integrated with Epic, their existing EHR. That’s when the OhioHealth team turned to the Qventus Inpatient Solution.

QVENTUS DEPLOYMENT

Real-time data, AI-powered insights

OhioHealth was focused on improving discharge planning efficiency, reducing length of stay, and increasing capacity for community care. Qventus’ Inpatient Solution uses AI to help them achieve their goals. Using Qventus’ realtime data and accurate predictions results in reduced time spent on manual work and enhanced patient outcomes from timely discharges and smoother
transitions to post-hospital care.

"With the Qventus Inpatient Solution we’ve reduced the length of stay for patients significantly, resulting not only in significant financial savings but also increased access to care."

Scott Estep
System Vice President, Nursing Operations & Capacity Management, OhioHealth

SOLUTIONS

What we deployed for OhioHealth

Qventus Inpatient Capacity Solution

Jackson implemented the Qventus Inpatient Solution to automate highly effective discharge planning and prioritize paths of action to proactively remove barriers to discharge. Users interact with the solution via Care Progression Manager, a robust visual management tool that is embedded directly into Cerner as an MPage. Results have included reduced length of stay and increased inpatient bed capacity while removing manual tasks from care teams.

SOLUTIONS

What we deployed for Saint Luke’s

Perioperative Solution

The machine learning algorithms in our solution can predict unused blocks weeks in advance, then apply principles of behavioral science to incentivize release of the time, increasing available OR time.
The solution also provides perioperative leaders with instant access to performance metrics, such as primetime utilization, block utilization, and scheduling accuracy. This enables more impactful feedback discussions and more productive surgical governance discussions.
A close-up view of a surgeon in a headlamp who represents the surgical services team at M Health Fairview

Inpatient Solution

Qventus has helped Saint Luke’s frontline teams shift discharge planning upstream, while patient-level intelligence reduces frontline workload to establish and update discharge plans.
Qventus intelligence auto-populates and suggests EDDs, dispositions, and barriers early in the stay, helping care teams keep them up to date. This makes it easier for teams to make sure the discharge plan is accurate and up to date. Key information is then written back to the EHR, which reduces documentation burden, as well as duplication of communication.
A healthcare professional meets with a young female patient at a hospital representing HonorHealth

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
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