CUSTOMER SUCCESS STORY

Unlocking bed capacity through strategic partnership and automation

Academic Health System
Boston
Epic EHR
RESULTS

Qventus impact

FTE hours saved
0
more admissions in 2025
0
increase in discharge volumes since go-live
0 %
reduction in mean excess days in 2025
0 %
THE CHALLENGE

Operational inefficiency was reaching critical levels

Like many health systems, Boston Medical Center faced inefficient manual processes and resource constraints that impacted the delivery of quality care, operational costs, and patient outcomes. Discharge planning efforts were focused on the 10% of length-of- stay outliers, which left a significant opportunity to provide more proactive attention to the remaining 90% of the patient population.

This created missed opportunities to optimize flow across the entire hospital. Recognizing this gap, BMC identified the need for a comprehensive, AI-powered solution to help address their capacity gaps.

QVENTUS DEPLOYMENT

Unlocking inpatient capacity with AI teammates

BMC implemented the Qventus Inpatient Solution to transform and automate discharge planning
at admission. Deeply embedded in Epic, the solution has enabled BMC to optimize multidisciplinary rounds and reduce clinician manual effort by surfacing relevant clinical insights, prompting action, and prioritizing ancillary orders to accelerate patient flow. Through earlier alignment on discharge plans, BMC was able to close barriers sooner, reduce excess days, and maximize capacity for every patient.

“This system reduces workload intensity, mitigates process variability, and optimizes our existing staff and resources. We actually feel much stronger today because of this.”

Chris Manasseh, MD
Associate Chief Medical Officer, Inpatient Operations

“Qventus understood the path we needed to take to drive change. We partnered with them because they brought a combination of technology and consultant mindset around change management.”

Alastair Bell, MD, MBA
EVP Strategy & COO

SOLUTIONS

What we deployed for Boston Medical Center

Qventus Inpatient Capacity Solution

Discharge Planning Assistant: Machine learning models—locally trained on your patients and care patterns—auto-populate aggressive, yet achievable EDD and dispositions directly into the EHR on the first morning after admission.

Flow Priority Assistant: Using sophisticated Machine Learning models that analyze patient and census data, our solution automatically sequences ancillary orders to best support patient flow and discharge success.

Care Gap Assistant: Identifies and orchestrates the closure of potential gaps in each care plan, including tracking patient-specific milestones.

Case Manager Assistant: Reviews care team notes to summarize relevant context from last 24 hours and helps support planned dispositions to prevent PAC denials.

Capacity Intelligence Assistant: Our solution accelerates patient flow by identifying in real-time the key actions needed to achieve discharge success.

SOLUTIONS

What we deployed for Boston Medical Center

Inpatient Solution

For Multidisciplinary Discharge Rounds (MDRs), Qventus uses AI and machine learning to autopopulate or suggest discharge dates, dispositions, and barriers to discharge to reduce frontline burden and improve discharge planning quality.

The solution triggers automation workflows to make sure ancillaries are prioritizing orders for discharge, and also nudges leadership teams in real time if processes slip. This ensures that by the time the patient is clinically ready for discharge, they are ready to leave the hospital and provides a better experience for their patients and staff.

A healthcare professional meets with a young female patient at a hospital representing HonorHealth

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

Future Solution

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Praesent quis nunc euismod, interdum purus eu, condimentum mi. Donec lacinia risus in consequat pharetra. Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. In eu elit lectus. Aliquam at velit massa.
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.
A healthcare professional meets with a young female patient at a hospital representing HonorHealth

Future Solution

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Praesent quis nunc euismod, interdum purus eu, condimentum mi. Donec lacinia risus in consequat pharetra. Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. In eu elit lectus. Aliquam at velit massa.
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.
A healthcare professional meets with a young female patient at a hospital representing HonorHealth
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