It's well known that hospitals struggle with capacity issues, but could the real culprit be poor optimization?
Making matters worse, consistent financial pressure and aging populations are driving demand to an all-time high.
In this episode of HealthBiz Briefs, Mohan Giridharadas, Founder and CEO of LeanTaaS, discusses the challenges facing medical providers and how advanced algorithms and AI solutions can streamline efficiency for better results.
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🎙️⚕️ABOUT CARETALK
CareTalk is a weekly podcast that provides an incisive, no B.S. view of the US healthcare industry. Join co-hosts John Driscoll (President U.S. Healthcare and EVP, Walgreens Boots Alliance) and David Williams (President, Health Business Group) as they debate the latest in US healthcare news, business and policy.
🎙️⚕️ABOUT MOHAN GIRIDHARADAS
Mohan Giridharadas is the Founder and CEO of LeanTaaS, a healthcare analytics company with 350 employees and offices in Silicon Valley and Charlotte. LeanTaaS integrates patented optimization algorithms and advanced data science into its iQueue suite, helping health systems enhance patient access and reduce costs by maximizing capacity in limited resources.
Over 800 hospitals and 180 leading health systems, including renowned institutions like Duke, Emory, and Memorial Sloan Kettering, utilize iQueue products. Before founding LeanTaaS in 2010, Mohan was a senior partner at McKinsey & Company, where he led the Lean Manufacturing and Service Operations Practice. He holds an MBA from Stanford, an MS in computer science from Georgia Tech, and a B. Tech in electrical engineering from IIT Bombay.
🎙️⚕️ABOUT LEANTAAS
Rising patient volumes traditionally prompted hospitals to build or acquire new capacity, but with razor-thin margins and increasing financial pressures, that approach is no longer feasible. The modern solution is to do more with less by maximizing existing healthcare capacity through powerful AI technology.
At LeanTaaS, they provide capacity management software that addresses the complex operational challenges of supply and demand. Their iQueue solutions utilize Lean principles and AI/ML predictive and prescriptive analytics to forecast future demand based on historical data, recent pattern shifts, and real-time insights, enabling staff and providers to respond quickly and confidently.
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