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Better healthcare through math

Bending the Access and Cost Curves in Healthcare.

About the book

It’s not controversial to say that American healthcare is far from perfect.

Despite world-class, extraordinary advances in technology and medicine, the vast majority of hospitals manage key operational functions such as patient and case scheduling with little more than glorified calendars. If an operating room is a hospital’s most expensive real estate, why is it being booked with a pencil and paper over a fax machine? It’s an inefficiency that creates a lose/lose/lose scenario for providers, patients, and the bottom line.

Why aren’t our operations as excellent as our clinical care?

Other asset-intensive industries with similar challenges and high variability in demand (transportation, airlines, retail) have solved this problem with scalable predictive analytics and prescriptive tools. What’s stopping healthcare from doing the same?

It’s possible to improve patient access, while also reducing care delivery costs.

The answer is as old as time – math. In the book Better Healthcare Through Math, Mohan Giridharadas and Sanjeev Agrawal share how predictive analytics, lean principles, deep data science, and machine learning can unlock capacity and solve some of healthcare’s hardest challenges. With sophisticated data, analytics leaders are able to do more with less and maximize healthcare capacity. That’s a winning equation.

About the authors

Mohan Giridharadas


Mohan Giridharadas is the Founder & CEO of LeanTaaS, a 350-person healthcare analytics company with offices in Silicon Valley and Charlotte. LeanTaaS embeds patented optimization algorithms based on lean principles, sophisticated data science, and simulation methodologies into its flagship iQueue suite of products. iQueue enables health systems to improve patient access and lower cost by unlocking capacity in scarce assets. One or more of the iQueue products have been deployed at over 800 hospitals and centers and 180 leading health systems across the country. Prior to starting LeanTaaS in 2010, Mohan was a senior partner at McKinsey & Company. During his 18-year tenure at McKinsey, Mohan led the Lean Manufacturing and Lean Service Operations Practice in North America and for the Asia-Pacific Region while based out of Sydney and Singapore. Mohan holds an MBA from Stanford University, an MS in computer science from Georgia Tech and a B. Tech in electrical engineering from IIT Bombay. 


Sanjeev Agrawal


Sanjeev Agrawal serves as the President and Chief Operating Officer for LeanTaaS, the leading AI / ML analytics company in healthcare operations. LeanTaaS’s predictive analytics software powers over 180 health systems and 800 hospitals and centers to improve access and lower costs. Before LeanTaaS, Sanjeev was Google’s first Head of Product Marketing, and led three successful startups – CEO at Aloqa (acquired by Motorola), VP Products & Marketing at TellMe Networks (acquired by Microsoft), and Founder & CEO at Collegefeed (acquired by AfterCollege). Sanjeev graduated with BS and MS degrees in Electrical Engineering and Computer Science from MIT. He started his career at McKinsey & Company and Cisco Systems before joining Google. Sanjeev has been named by Becker’s Hospital Review as one of the “Top Entrepreneurs Innovating in Healthcare.”

Read the reviews

“The principles described in this book are fundamental to transforming healthcare operations. Matching unpredictable demand and supply in any asset-intensive industry requires sophisticated predictive and prescriptive algorithms deployed at scale. Others ― Fedex, UPS, Airlines, Waze, Amazon ― are doing it, and so can we in healthcare!”
Dr. Patrick Byrne, MBA, Chairman, Cleveland Clinic Head and Neck Institute
“Healthcare leaders interested in digital transformation will benefit from reading this book. We all have to start using the sophisticated predictive and prescriptive models described in it to optimize access and contain costs.”
Steve Hess, Chief Information Officer, UCHealth
“The concepts shared in this book show how innovative methods can transform healthcare operations in a way that allows the organization to evolve on a comfortable path while experiencing dramatic advancements.”
Rebecca Kaul, former Chief Innovation Officer, MD Anderson Cancer Center
“Digital transformation is the next frontier for medicine and healthcare delivery. How does “math” fit in? How does AI provide the foundation for operational excellence and change? This highly readable book from two unique experts is a must-read for healthcare leaders.”
Dr. Gary E. Bisbee, Jr., Ph.D., MBA, Co-Founder, and Chairman Emeritus, The Health Management Academy

Contact book@leantaas.com to learn more about the book, its authors, and opportunities to invite Mohan or Sanjeev to speak at your next event.

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Chapter 1: The Looming Challenge

If you work in the healthcare industry, or even if you’re just an interested observer, you don’t need a book to tell you that the financial pressure is on as never before. A perfect storm of circumstances is swirling together, one that will make survivability, not to mention profitability, a greater challenge for healthcare companies than we’ve seen in the modern era.

As with banks, retailers, and airlines, which had to rapidly enhance their brick-and-mortar footprints with robust online business models—it is the early movers eager to gain new efficiencies that will thrive and gain market share. The slow-to-move and the inefficient will end up being consolidated into larger health systems seeking to expand their geographical footprints.

The pressures on healthcare

Let’s look at just a few of the looming challenges healthcare must meet head-on.

An aging population

By the year 2030, the number of adults sixty-five years of age or older will exceed the number of children eighteen years or younger in the United States. We are living longer than our parents did. Positive news for sure, but problematic for several reasons.

The older we get, the more medical help we need. Older people have more chronic diseases. By 2025, nearly 50 percent of the population will suffer from one or more chronic diseases that will require ongoing medical intervention. This combination of an aging population and an increase in chronic diseases will create a ballooning demand for healthcare services.