What You Should Know:
– 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.
Revolutionizing Healthcare Operations: Qventus’ AI Solutions Enhance Patient Care and Efficiency
For over a decade, Qventus has been at the forefront of AI-based software, automating care operations in both operating rooms and inpatient settings. By deeply understanding the challenges faced by healthcare providers and applying modern technologies proven in other industries, Qventus empowers care teams to make smarter decisions, optimize patient flow, reduce cognitive load, and improve the patient experience. Their solutions deliver meaningful returns and have achieved the highest KLAS rating, providing a competitive edge for clients, including health systems, independent hospitals, and academic medical centers.
Qventus’ Inpatient Solution significantly reduces excess days by 20-35% and cuts the length of stay (LOS) by up to one entire day. For instance, OhioHealth increased bed capacity and improved care coordination, saving nearly 1,400 excess days and approximately $550,000 within the first month of deployment. The forecast for the first year includes saving over 16,800 excess days and $6.6 million. Healthcare systems face escalating threats, such as a projected nursing shortage of 450,000 bedside nurses by 2027 and increasing emergency department boarding times.
The Qventus Inpatient Solution addresses these issues by using AI to detect gaps in care plans and optimally sequence key care steps, supporting patient flow. Utilizing real-time data and accurate predictions reduces manual work and enhances patient outcomes through timely discharges and smoother transitions to post-hospital care. Extended lengths of stay strain health system finances, burden staff, decrease patient satisfaction, and worsen health outcomes, as highlighted in a recent JAMA article.
Key features of Qventus’ solutions include:
– Fully Embedded in the EHR: Streamlines workflows, keeping care team members within their existing EHR environment.
– Early Discharge Planning (EDP) Intelligence: Provides real-time insights within existing workflows, helping care teams set aggressive but achievable discharge dates and support optimal disposition determination using machine learning 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, prompts providers for key orders, and automatically opens/closes milestones, saving care team time.
Qventus’ growing portfolio of solutions maximizes operating room (OR) utilization, automates discharge planning, and establishes best-in-class practices for healthcare operations within surgery and inpatient service lines. Notably, in its first three years of deployment with HonorHealth, 86% of patients received early discharge plans, saving the health system over 50,000 excess days and $62 million.
Qventus’ AI-driven solutions are essential in addressing the modern challenges of healthcare systems, improving efficiency, and enhancing patient care across the board.
