Qventus

AI and ML are fundamental to the Qventus platform's function. They power the platform's capabilities to optimize patient flow and automate healthcare operations. AI is used to create personalized models that drive operational improvements such as higher surgical case volumes, improved utilization of early block release, reduced excess days, and more. ML helps the platform learn from the data, continually improve, and react with precision to different situations.

Qventus increases efficiency in healthcare by automating processes, integrating market data, and utilizing AI/ML models. It targets specific areas such as patient flow, staff deployment and resource utilization, helping to drive improvements like higher surgical case volumes, reduced excess days, increased revenue and enhanced patient care.

Qventus contributes to reducing staff burnout in hospitals by automating care operations. This automation reduces the cognitive load on staff, enabling them to deal with fewer surprises and allowing them to spend more time with patients. Furthermore, the AI-driven predictions provide insights that can help streamline operations and make the staff's jobs easier and more efficient.

Qventus introduces several operational improvements in perioperative units. It uses AI/ML models, software templates, and best-practice operational processes to increase surgical case volumes, improve utilization of early block release, and increase lead times from proactive block release. The platform's predictive and analytics capabilities can help in planning and managing perioperative processes more effectively.

Yes, Qventus can be used by community hospitals and academic medical centers. It has proven successes in hundreds of deployments across large health systems, community hospitals, and academic medical centers. It optimizes patient flow, automates care operations, and drives growth and success regardless of the type of healthcare institution.