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Qventus for Inpatient Units
Automate discharge planning processes to reduce length of stay
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Reduce costs
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Create effective capacity
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Decrease frontline burnout
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Improve patient experience
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Up to 1 day reduction in length of stay
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20-35% decrease in excess days
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80% fewer clicks during MDRs
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10x+ ROI for partners in 2021
Early Discharge Planning:
Key to Reducing Length of Stay
Today, operational inefficiencies extend length of stay and result in a significant number of excess days. These excess days lock up bed and staff capacity, delay patients from returning to their families, and cost the average health system millions of dollars each year.
Fortunately, research shows that early discharge planning reduces excess days by 1.2 days per patient. But all too often, discharge planning is ad-hoc and inconsistent. Multidisciplinary discharge rounds (MDRs) are ineffective and highly variable, making length of stay reductions hard to achieve — and even harder to sustain.
It’s time for a new approach.
Automate Early Discharge Planning &
Hardwire Proven Best Practices
The Qventus Inpatient Solution combines AI, automation, and behavioral science with leading operational practices to hardwire early discharge planning. Based on proven best practices, the solution uses machine learning and process automation to drive Highly Effective MDRs. Then, it automates care coordination steps and provides leaders with powerful analytics to drive changes that stick.
With Qventus clinical experts helping teams integrate the technology into discharge-focused workflows, health systems can achieve sustained reductions in length of stay and excess days, unlock effective capacity, and reduce frontline burden.
Highly Effective MDRs
Automate manual steps & reduce cognitive burden
AI & machine learning models learn from hospital operational patterns and analyze real-time EHR data to predict discharge date, disposition, and barriers to discharge specific to each patient. Combining probabilistic inference with process automation, Qventus autopopulates predictions directly into care plans when the models are highly confident, or makes recommendations for teams to confirm.
Automated Care Coordination
Break down silos to align teams toward a common discharge goal
Qventus watches care progression process steps and prompts action to support discharge. It drives automated care coordination workflows to resolve barriers, like prioritizing orders for ancillary services teams. As a result, ancillaries can complete orders in a timely manner, with fewer manual calls and interruptions to daily workflow.
Closed-Loop Accountability
Reinforce best practice behaviors and identify targeted improvements
Qventus allows leaders to close the loop and drive changes that stick. Its powerful analytics help leaders reinforce best practice behaviors, extend real-time support, and identify targeted improvement opportunities. Furthermore, it uses behavioral science principles to drive engagement, providing positive feedback when teams achieve goals.
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
We've seen a significant reduction in the number of messages that go to physicians. That helps them stay focused and keep their work moving so that they're not getting all of those interruptions throughout the day.
Debe GashSVP & Chief Digital Officer
Qventus helps our frontline teams work at the top of their license by simplifying discharge workflows. That means less phone calls, less chasing down orders, and less chaos on the day of discharge for our patients and our staff.
Ashleigh Gerhardt, MBA, BSN, RN, NEA-BCVP of Network Operations and Emergency Services
Technology absent change management is often a wasted investment. With Qventus, we particularly liked their pathway to get people to effectively engage with the technology and change behaviors.
Alastair Bell, MD, MBACOO
The machine learning that Qventus gives us is amazing. The estimated date of discharge prediction is something we never thought we’d be able to have at our fingertips.
Sameer Gupta, MDVP of Medical Affairs
Related Resources
whitepaper DOWNLOAD
Hardwiring Discharge Planning Best Practices to Decrease Length of Stay
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