Product Overview of Qventus
Qventus is a leading provider of AI-based software designed to automate and optimize healthcare operations, particularly in inpatient and perioperative settings. Here’s a detailed look at what the product does and its key features and functionality.
Purpose and Impact
Qventus’ solutions are engineered to address critical challenges in healthcare operations, such as reducing length of stay (LOS), minimizing complications, enhancing staff efficiency, and improving patient and physician satisfaction. By leveraging advanced technologies like AI, machine learning, and behavioral science, Qventus helps healthcare systems streamline their workflows, optimize patient flow, and reduce administrative burdens on care teams.
Key Features and Functionality
AI-Powered Predictions and Automations
- Qventus’ platform uses AI to predict discharge dates, dispositions, and barriers to discharge early in a patient’s stay. This predictive capability helps care teams set aggressive yet achievable discharge dates and determine optimal patient dispositions.
Integration with Electronic Health Records (EHRs)
- The solution is fully embedded into EHR workflows, allowing care team members to access AI predictions, intelligence, and automations directly within their existing EHR environment. This integration streamlines workflows, reduces manual work, and enhances patient outcomes by ensuring timely discharges and smoother transitions to post-hospital care.
Early Discharge Planning (EDP) Intelligence
- Qventus provides real-time insights within existing workflows to help care teams plan for discharge effectively. This includes using machine learning models trained on customer data, such as provider notes, to support optimal disposition determination.
Flow Prioritization
- A machine learning algorithm embedded in the EHR worklists analyzes patient and census data to determine the optimal order sequence for care steps. This proactive approach helps free up capacity and ensures timely discharges.
Automated Workflows
- The intelligence engine detects gaps in care plans, prompts providers for key orders, and automatically opens or closes milestones, saving care teams significant time and reducing cognitive load.
AI Operational Assistants
- Qventus has introduced AI Operational Assistants that analyze complex healthcare data in real-time, identify operational inefficiencies, predict patient needs, and take specific actions to bridge the data-to-action gap. These assistants help reduce administrative burdens on clinicians, allowing them to focus more on patient care.
Customized and Localized Models
- Unlike generic machine learning models, Qventus’ platform is designed to be trained on a health system’s unique data, adapted to their patient population, and tuned to their specific processes and strategic priorities. This approach ensures faster deployment of customized data models with less development and maintenance workload.
Security and Reliability
- The platform is built with robust security measures, including SOC2-certified infrastructure, to ensure the highest levels of security, reliability, and privacy. Automatic updates from the cloud minimize deployment tasks and ongoing maintenance burdens.
Benefits and Outcomes
- Health systems using Qventus’ solutions have reported significant reductions in length of stay (up to one entire day) and excess days (20-35% reduction). For example, OhioHealth saved nearly 1,400 excess days and approximately $550,000 in the first month of deployment, with projected annual savings of over 16,800 excess days and $6.6 million.
- Qventus’ solutions have also achieved high satisfaction rates among care teams and have been recognized with the highest KLAS rating, validating their effectiveness in optimizing care operations and enhancing patient outcomes.
In summary, Qventus offers a comprehensive healthcare operations automation platform that leverages AI, machine learning, and behavioral science to optimize patient flow, reduce administrative burdens, and improve overall care quality. Its seamless integration with EHRs, customized models, and automated workflows make it a powerful tool for healthcare systems aiming to enhance operational efficiency and patient care.