Qventus Launches its 3rd Generation Inpatient Solution to Optimize Hospital Discharge Planning and Automate Care Planning - Fully Embedded into EHR Workflows

Poised to Save OhioHealth Up to $7M Annually, The New Solution Decreases Patient Length of Stay and Promotes Ideal Patient Flow

NEW YORK--()--Qventus, Inc., the leading provider of AI-based software to automate health system operations and promote patient flow, today launched its expanded version of their Inpatient Solution. The solution - which is used by leading health systems across the US - predicts and automates discharge planning, and is fully embedded into EHR workflows. The solution targets the most crucial challenges in healthcare operations: reducing length of stay (LOS) and risk of complications, improving staff efficiency, and enhancing patient and physician satisfaction.

With Qventus’ Inpatient Solution, health systems reduce excess days by 20 -- 35 percent and cut LOS by up to one entire day. Within the first month of deployment, OhioHealth increased bed capacity and significantly improved care coordination across the health system, saving nearly 1,400 excess days and approximately $550,000 (forecasted to save 16,800+ excess days and $6.6M in the first year).

Healthcare systems are grappling with escalating safety-critical threats, including a projected nursing shortage of 450,000 bedside nurses by 2027, further strained by soaring emergency department boarding times. Qventus’ Inpatient Solution uses AI to detect gaps in care plans and optimally sequence key care steps to best support patient flow. Using Qventus’ real-time data and accurate predictions results in reduced time spent on manual work and enhanced patient outcomes from timely discharges and smoother transitions to post-hospital care.

Extended length of stay strains health system finances, burdens staff, decreases patient satisfaction, and worsens health outcomes, according to a recent JAMA article. “By integrating AI intelligence seamlessly into the EHR, we ensure every patient has the benefit of an early, accurate discharge plan with barriers proactively surfaced for care team members via automations, reducing manual workload and improving patient flow,” said Mudit Garg CEO and Co-Founder of Qventus. “It's incredibly rewarding to see our solution help health systems improve care infrastructure, increase capacity, and make meaningful steps toward decreasing the burden on our frontline care teams.”

Manual processes create inefficiencies that can extend patient stay by more than a day beyond medical necessity. Across 34 million inpatient admissions, that translates to a staggering 34 million excess days – a $34 billion burden on the healthcare system. Built to help combat this, Qventus’ Inpatient Solution includes key features:

  • Fully embedded in the EHR: Streamlines workflows to keep care team members within their existing EHR environment.
  • Early Discharge Planning (EDP) Intelligence: Real-time insights embedded within existing workflows help care teams set aggressive, but achievable discharge dates, and support optimal disposition determination, using ML models trained on customer data, including provider notes.
  • Flow Prioritization: A machine learning algorithm embedded directly in the EHR worklists analyzes patient and census data to determine the optimal order sequence, proactively freeing up capacity and ensuring timely discharges.
  • Automated Workflows: Qventus' intelligence engine detects gaps in the care plan, prompting providers for key orders, and automatically opens/closes milestones, saving care team time.

“Today’s care teams are overwhelmed by urgent needs and struggle to plan effectively. With the right tools, we’re able to leverage our data to identify emerging themes, streamlining our operations and optimizing bed utilization,” said Scott Estep, System Vice President, Nursing Operations & Capacity Management at OhioHealth. “With Qventus Inpatient Solution we’ve reduced the length of stay for patients significantly, resulting not only in significant financial savings but also increased access to care.”

Qventus’ growing portfolio of solutions maximizes operating room (OR) utilization, automates discharge planning, and creates best-in-class practices for healthcare operations within surgery and inpatient service lines. This announcement comes on the heels of Qventus releasing the results of its first 3 years of deployment with HonorHealth, in which 86 percent of patients received early discharge plans saving the health system over 50,000 excess days, leading to $62 million saved.

About Qventus

For more than a decade, Qventus has been at the forefront as a provider of AI-based software automating care operations in both the operating room and inpatient settings. By deeply understanding the challenges faced by healthcare providers and applying modern technologies and principles proven in other industries, we empower care teams to make smarter decisions and optimize patient flow, while reducing cognitive load on team members and improving the patient experience. Our solutions not only deliver meaningful returns but have also recently achieved the highest KLAS rating, creating a competitive edge for our clients, including health systems, independent hospitals, and academic medical centers. By integrating with EHRs, the Qventus platform leverages GenerativeAI, machine learning, and behavioral science to predict operational bottlenecks, recommend remedies, and automate processes. Explore more at www.qventus.com.

About OhioHealth

Based in Columbus, Ohio, OhioHealth is a nationally recognized, not-for-profit, charitable, healthcare outreach of the United Methodist Church. Serving its communities since 1891, OhioHealth is a family of 35,000 associates, physicians, and volunteers, and a network of 15 hospitals, three joint-venture hospitals, one managed-affiliate hospital, 200+ ambulatory sites, and other health services spanning a 50-county area. For more information, visit ohiohealth.com.

Contacts

Bruno Solari
qventus@solcomms.co

Contacts

Bruno Solari
qventus@solcomms.co