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Predicting the Future of Health Care: Using Big Data to Treat Type 1 Diabetes

STORIES

Predicting the Future of Health Care: Using Big Data to Treat Type 1 Diabetes

Mark A. Clements, MD, PhD
Endocrinologist; Medical Director, Pediatric Clinical Research Unit; Professor of Pediatrics, University of Missouri-Kansas City School of Medicine; Clinical Instructor of Pediatrics, University of Kansas School of Medicine
Full Biography

More than 18,000 cases of type 1 diabetes are diagnosed among young people under age 20 in the U.S. each year, according to the American Diabetes Association. Studies show that poor disease control at any age significantly raises lifetime risk of serious complications, such as heart disease and kidney disease.

In 2017, Children’s Mercy Kansas City and Cyft, Inc., which leverages data science and advanced prediction methods to achieve performance improvement in healthcare systems, partnered on a grant-funded project to predict which youth and young adults with type 1 diabetes may be at risk for these negative health outcomes, and to evaluate new approaches to quality-improve care before those negative outcomes happen.

Led by Mark Clements, MD, PhD, pediatric endocrinologist at Children’s Mercy and Professor of Pediatrics at the University of Missouri Kansas City, and Leonard D’Avolio, PhD, Assistant Professor, Harvard University, and CEO, Cyft, Inc. and funded by The Leona M. and Harry B. Helmsley Charitable Trust, the goal of the project is simple: to use big data approaches to treat diabetes while ensuring the right intervention is used for the right person at the right time.

Read more about how this new paradigm in diabetes care and how data science, behavioral science, mHealth and user-centered design can be combined to change the future of healthcare.