Santosh Mohan is a health care IT industry analyst researching emerging innovations and management practices that enable health system transformation. He currently serves as the Chairperson of HIMSS Innovation Committee and as a board member of HIMSS Northern California chapter.
Most recently, Santosh served as a management fellow at Stanford Health Care and has helped the organization achieve EMRAM Stage 7 inpatient and outpatient validations. He previously worked on technology-enabled innovation at Duke University Health System and Cerner and has subsequently served as a senior consultant and director at The Advisory Board Company, providing best practice research, strategic advice, and operational insights to health system CIOs on a variety of connected health topics including patient portals, virtual visits, remote patient monitoring, and new IT-enabled care models.
Santosh earned his master's degree in business management and clinical informatics from Duke University's Fuqua School of Business, where he received the leadership excellence award and was also named a Fuqua Scholar. He is a Certified Professional in Healthcare Information & Management Systems (CPHIMS) and holds a bachelor's degree in engineering and bioinformatics from VIT University (India).
Santosh was recently recognized by Becker’s Hospital Review as one of 33 Health IT Wiz Kids and he is this year's recipient of the HIMSS Founders Leadership Award.
The U.S health care systems broad adoption of EHRs has dramatically increased the quantity of clinical data available electronically. Simultaneously, rapid progress has been made in clinical analytics—techniques for analyzing large quantities of data and gleaning new insights from that analysis. This is all part of the big data “revolution.” As a result, there are unprecedented opportunities to use big data to reduce the costs of health care in the United States.
But what exactly are those opportunities, and how are big data and analytics changing the delivery of care as we know it?
In this opening leadership discussion, our distinguished panel of healthcare data experts discuss the insights likely to emerge from clinical analytics, the types of data needed to obtain such insights, and the infrastructure—analytics, algorithms, registries, assessment scores, monitoring devices, and so forth—that organizations will need to perform the necessary analyses and to implement changes that will improve care while reducing costs