Mohan Giridharadas and Sanjeev Agrawal

CEO (Mohan) & COO (Sanjeev) for LeanTaas

MOHAN GIRIDHARADAS and SANJEEV AGRAWAL are senior executives at LeanTaaS, a software company dedicated to improving healthcare operations. They have helped over a hundred health systems create win-win-wins for their patients, care providers, and operations teams. As a result, millions of patients have enjoyed improved access to healthcare and shorter wait times, and operational staff have seen a lessening of the chaos they had come to accept as inevitable.

Prior to starting LeanTaaS, Mohan Giridharadas, MBA, MS, was a senior partner at McKinsey & Company where he led the Lean Manufacturing and Lean Service Operations practices for both North America and the Asia-Pacific region.

Prior to LeanTaaS, Sanjeev Agrawal was Google’s first head of product marketing. He has also previously served as the CEO of Aloqa, VP of products at Tellme Networks, and was a founder of Collegefeed.

Mohan and Sanjeev have both been named by Becker’s Hospital Review as two of the top entrepreneurs innovating in healthcare.


Better Healthcare Through Math: Bending The Access And Cost Curves

Publication Date: November 2020

The US healthcare system excels in research, innovation, and clinical care, but is failing to keep up with the operational challenges of the digital age. Today’s healthcare organizations face immense financial challenges, and their most valuable resources―people, rooms, and equipment―are being used inefficiently. The result? Long wait times for patients, overstressed staff, underused assets, and poor ROI for organizations.

Why do health systems struggle with optimization? The fundamental problem is one of matching an unpredictable demand for services with a constrained supply. The math being used to solve this problem is a holdover from the paper-and-pencil era.

In Better Healthcare Through Math, authors Mohan Giridharadas and Sanjeev Agrawal show you that there is a better way. Healthcare systems can harness the power of sophisticated, analytics-driven mathematics to optimize the matching of supply and demand. By upgrading to software systems built on better math, they can enable staff to make data-based decisions to flatten peaks of demand and create smoother patient flow.

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