Qventus for Inpatient Units
Drive sustained reductions in length of stay & excess days
Reducing length of stay allows health systems to create effective capacity and generate tens of millions of dollars in financial benefit each year – without adding staff.
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Reduce excess day costs
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Create effective capacity
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Decrease frontline burnout
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Improve care quality
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Up to 0.8 day decrease in LOS
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Tens of millions annual $ value per partner
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30+ min / day saved per case manager
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35 effective beds of capacity created for a health system
Early Discharge Planning: Key to Reducing Excess Days
Patients with estimated discharge dates & dispositions by 2nd midnight observe 91% fewer excess days
SNF discharges represent ~20% of encounters but constitute ~80% of excess days
For discharges to SNF, managing barriers early is associated with 39% fewer excess days
Early discharge planning is the most significant factor in reducing excess days, and for complex discharges,
proactive management of discharge barriers is especially critical.
But our care progression models were never designed to focus on discharge, and the EHR was not built with these best practices in mind. Without a simple, standardized approach to manage accountability, hospitals struggle to sustain improvements. This results in inconsistent operations without resilience or repeatability.
It’s time for a new approach.
Technology + process codesigned to hardwire discharge planning best practices
Qventus combines AI, behavioral science, and process redesign to hardwire discharge planning best practices. The platform automates key steps for discharge planning, predicts barriers to discharge and orchestrates their resolution, and enables leaders to effectively manage accountability. Using a proven deployment methodology, Qventus’ Expert Services team of hospital and performance improvement leaders works with frontline teams to co-design resilient processes and drive change management.
Discharge Planning
Hardwire early discharge planning & accuracy
Automate key steps for discharge planning with process automation & AI
Analyzing millions of data points, Qventus uses process automation and AI models to auto-populate predicted EDDs and dispositions if the information is missing, automatically suggest updates throughout the patient stay, and predict barriers to discharge. With simple, frictionless workflows, Qventus makes it easier than ever for care teams to plan for discharge early.
Manage accountability at scale with statistical process analytics
To ensure new behaviors stick, Qventus uses statistical process analytics to help leaders enforce best practices across units. When rounding processes begin to slip, statistical engines automatically escalate issues to leadership, surfacing coaching opportunities and kudos that help leaders intervene in real time and reward top performers.
Barrier Management
Manage barriers for complex discharges through intelligent orchestration
Reduce the back & forth with ancillaries
When predicted barriers are confirmed by the care team, Qventus machine learning intelligently prioritizes orders across units for radiology, therapy, and other ancillaries. Automate the manual back & forth and collaborate in real time for urgent issues, with behavioral analytics in the background identifying improvement opportunities.
ICU Stepdown
Optimize stepdown to create effective capacity
Discover untapped opportunities for early stepdown
With one-third of ICU patients ready for stepdown 8-12 hours before the transfer order, Qventus uses machine learning to identify patients for stepdown earlier so that ICUs can create effective capacity, capturing 25% more patients for stepdown compared to care teams alone.
Curated Reporting & Analytics
Pinpoint greatest opportunities for reducing length of stay
Measure impact & drive continuous improvement
Qventus uses advanced statistical models to control for patient, hospital, and seasonal variables to evaluate attributable length of stay decreases, excess day reductions, and effective capacity created. Its robust data around top barriers driving excess days allows health systems to identify workflow adjustments and new process changes in a targeted, data-driven manner never before possible.
Design Resilient Processes for Discharge Planning Best Practices
The Qventus Expert Services team of physician & nursing executives, PI leaders, and technical specialists work hand in hand with health systems to assess current state processes, design standard work, and integrate workflows into the Qventus platform. Implementing proven length of stay reduction methodology grounded in evidence-based best practices, Qventus helps you manage cultural, process, and technical change, reducing the burden of operationalization for your organization.
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MDR implementation & scripting
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Barrier resolution standard work
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Escalation process design
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Morning discharge consistency
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Accountable governance structure
Partner perspectives
Through our work with Qventus, we’ve been able to decrease and sustain our LOS by 0.5+ days… that translates into 35 beds. We’ve improved staff and provider satisfaction, and our leadership engagement has never been higher...
Because it prioritizes work intelligently, Qventus makes physicians more efficient in seeing patients. At the end of the day, we can have greater confidence that things were done correctly.
Now, if a patient encounters a new barrier, I don’t get 3 pages about the same thing from the bedside nurse, the charge nurse, and the care manager. Qventus decreases confusion – that’s why physicians are really engaged.