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.
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
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.
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.