Dr. Kalyani Velagapudi is the founder of Winigent, a successful consulting firm specializing in Advanced Analytics and Data Science. Winigent serves many large enterprises including University of Washington Medical Center, Microsoft, and State of Washington among others.
She is the co-founder of Perimatics, a healthcare spin-off from Winigent and CoMotion of the University of Washington. Perimatics launched with the goal of leveraging data science to lower the costs, increase the quality of care, and improve perioperative care outcomes.
Before starting Winigent, Kalyani has 25+ years of technical industry experience spread across healthcare, telecom and software industries. She has unique expertise in implementing different enterprise-wide systems like EMR at Virginia Mason Medical Center, Oracle Financials at AT&T wireless and SAP at T-Mobile and Microsoft. Some of the senior leadership roles she held were Operations Management, IT cost reduction, Operations Process Automation, server simplification, monitoring key systems and TCO reduction. Kalyani led highly impactful leadership roles like creating and managing Microsoft partner management program, driving MSIT organization strategy and business alignment. Kalyani’s education and work experience gave her a deep understanding of how to utilize technology as a medium to positively disrupt, innovate and accelerate growth for specific industry verticals like healthcare.
Kalyani earned her PhD in health economics with a specialization in hospital cost optimization from Wayne State University. She is currently serving as a board member of University of Washington Information School. She is a strong believer in data-driven decisions and using Machine Learning based predictions to solve patient care issues along with reducing the cost in the healthcare system.
She lives with her husband and two sons and an adorable yellow lab in their home in Woodinville, a suburb of Seattle.
Perioperative care for surgery patients contribute to more than 50% of a hospital’s revenue. However, due to the complexity and dynamic nature of the perioperative environment, delivering optimal and efficient care is challenging. Real-time perioperative data science platforms support a wide ecosystem of data and technology solutions including real-time decision support, machine learning predictive models, and robotic business intelligence. Learn about solutions built on these platforms that have: delivered a return on investment (ROI) of $1.2 million per 10,000 surgeries in terms of quality of care using the real-time decision support and guidance system in over 400,000 surgeries; improved efficiencies, resulting in a potential to reduce overage by $263,000 using machine learning models to predict operating room and post-anesthesia care unit occupancy times; reduced surgical supplies cost by $565,000 using robotic business intelligence algorithms.