In this episode, Mudit Garg discusses the evolution of Qventus and how they are applying AI to help hospitals and health systems in managing their operations with real-time predictions for improved care delivery.
With a focus on patient flow automation, Qventus helps hospitals and health systems in reducing the length of stay and other operational metrics. Based on early insights that machine learning models and prediction scores can be confusing to users in the absence of an accountability engine, the company has developed an interdisciplinary approach, augmenting AI with behavioral science principles to drive sustained improvements in healthcare operations.
Mudit Garg is the CEO and Co-Founder of Qventus. Qventus is an AI and behavioral science-based system that integrates with EHRs and automates patient flow. In this role, Mudit works closely with leading health systems including Dignity, Emory, Fairview, Mercy, NewYork-Presbyterian, and Stanford. Together with Qventus, these organizations have been able to transform their operations, reducing length of stay by 0.3 to 0.8 days, eliminating thousands of excess days, decreasing ED LWBS by 50%, and more – ultimately resulting in higher margins, decreased staff burnout, and a better patient experience.
Prior to Qventus, Mudit co-founded multiple technology companies including Vdopia and Hive. He also spent time in McKinsey & Company’s healthcare practice helping large providers with organizational transformation and performance improvement. Mudit has been recognized for leadership as one of the Silicon Valley Business Journal 40 Under 40. He is a Stanford-StartX mentor. He earned his Master’s in Business Administration and Electrical Engineering from Stanford University and a Bachelors from the Indian Institute of Technology.
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