Automated discharge planning
Machine learning models locally trained on patient and care-pattern data auto-populate EDDs and dispositions in the EHR on the first morning after admission, then continue testing the discharge plan during the stay.
Qventus is a healthcare operations platform that uses AI to automate discharge planning, patient flow, perioperative coordination, and surgical growth. It helps hospital teams reduce manual administrative work and act inside EHR-based workflows.
Qventus is a healthcare operations platform that uses AI to automate work across hospital settings, with a strong focus on inpatient capacity, perioperative coordination, and surgical growth. Its homepage presents the product as a set of “AI teammates” that help teams handle administrative tasks, identify barriers, and take action inside clinical workflows.
The most detailed solution page centers on discharge planning and patient flow. There, Qventus describes an AI-powered inpatient capacity solution that auto-populates EDDs and dispositions, sequences ancillary work, identifies care gaps, and supports lower-acuity discharge decisions without forcing staff out of the EHR.
Machine learning models locally trained on patient and care-pattern data auto-populate EDDs and dispositions in the EHR on the first morning after admission, then continue testing the discharge plan during the stay.
The flow-priority assistant sequences ancillary orders to better support patient flow and discharge success, including therapy, imaging, and lab work.
Care-gap orchestration evaluates patient plans for delays such as physical therapy, MRI, case management consults, foleys, and similar blockers, then helps resolve them in the right sequence.
The case manager assistant reviews provider, therapy, and case-management notes to spot opportunities for earlier, lower-acuity discharge and better post-acute placement.
Capacity intelligence works in real time to surface the most impactful actions leaders can take to improve throughput and allocate resources.
The surgical-growth and perioperative-care pages describe AI operational assistants that take action on below-license administrative tasks rather than only recommending work.
Hospital inpatient teams use Qventus to set EDDs and dispositions early, keep discharge plans updated, and surface barriers that could delay a patient leaving the hospital.
Operations leaders use the platform to coordinate therapy, imaging, lab, and other ancillary services so high-priority work happens in a sequence that supports patient flow.
Case managers use the solution to identify candidates for lower-acuity discharge, improve post-acute placement decisions, and reduce avoidable excess days.
Surgical services teams use the surgical growth and perioperative coordination solutions to align growth goals with day-to-day scheduling and pre-admission testing.
Hospital leaders use capacity intelligence and real-time dashboards to monitor discharge progress, identify bottlenecks, and choose interventions with the highest throughput impact.
Qventus positions its Inpatient Capacity Solution as embedded in the EHR, where it auto-populates EDDs and dispositions and orchestrates discharge-related actions without requiring staff to leave their workflow. The solution page also says the broader inpatient offering is fully integrated into Epic, Cerner, and most other standard EHRs.
The source pages describe Qventus as a platform for hospital operations teams, with solution areas for surgical growth, perioperative care coordination, and inpatient capacity. The product is aimed at frontline staff, care teams, and hospital leaders who need to reduce manual work and improve flow.
The source material does not show public pricing. The pricing URL provided returns a page-not-found response, so pricing appears to be handled elsewhere or not published on the site.
The homepage says Qventus' solutions can reduce surgery cancellations by up to 40%, add three strategic cases per OR per month, reduce excess days by 15-30%, and increase staff productivity by 50%. The discharge-planning page adds that the inpatient solution can reduce excess days by up to 15-30% and improve discharge planning with AI-powered care orchestration.
The site references several operational areas, including surgical growth, perioperative care coordination, inpatient capacity, and malnutrition care automation. The detailed pages provided focus most strongly on discharge planning and patient flow, while other solution areas are mentioned more briefly.