WPC Healthcare Deploys Data Science to Help Predict Sepsis

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“Evolving Definition of Sepsis,” Authored by WPC and Area Data Scientists, Featured in International Clinical Pathology Journal

WPC Healthcare, a leading provider of data science solutions, together with Dr. Todd Gary of Middle Tennessee State University, has had their work to identify new approaches to the early identification and treatment of sepsis published in the International Clinical Pathology Journal, a peer-reviewed, open access journal.

The paper highlights the fact that sepsis is not well understood, and there’s no standard approach to diagnosis and treatment. The authors look at the evolving definition of sepsis over its long medical history, the controversy over the current definition of sepsis, and the development of a sepsis screening tool. This year, the Journal of the American Medical Association, published a new definition for sepsis, sepsis-3, proposed by an international committee of experts. The WPC Healthcare paper is designed to assist the medical community in understanding the origins of the new sepsis-3 definition and proposes ways data science can help in the diagnosis and treatment of sepsis.

“Sepsis claims the lives of five million people worldwide every year,” says Mingle. “We’re looking for a way to better understand and predict, with a high degree of accuracy, who has or is likely to develop sepsis,” says Mingle.

WPC initiated a Visiting Scholars Program earlier this year to foster exchange and innovation in data science through collaboration with Tennessee universities. Dr. Todd Gary, of Middle Tennessee State was the first recipient and is collaborating with WPC’s Chief Data Scientist, Damian Mingle.

Data science approaches, such as machine learning, predictive analytics and data mining, are beginning to be applied to the large database of information available to researchers. The WPC approach to sepsis leverages non-clinical data and demographic information to create a sepsis screening tool that shows promise for the rapid identification and treatment of sepsis.

“As a data science company, we know how to transform data into actionable insights that create, improve, and enhance processes,” says Ray Guzman, chief executive officer for WPC Healthcare. “Using data science to help clinicians identify who has sepsis, is likely to develop sepsis in the hospital or who might readmit with sepsis can significantly reduce costs and more importantly help save lives.”

Along with Mingle and Gary, Dr. Ashwini Yenamandra, a graduate student in data science at Lipscomb University, and a scientist at Vanderbilt University, authored the paper. They submitted their extensive review of sepsis’ evolving definition to ICP in September; the journal published the entry on October 19. The swift publication, and the open access format of ICP is part of a larger trend shaping medical and scientific research. Open access journals allow researchers to post results at a swifter pace while still being peer-reviewed.

About WPC Healthcare

WPC supports building the “information IQ” of every client to ensure healthcare is ready for whatever comes down the road – next month or next year. WPC Healthcare is the right partner to optimize business and technology processes fueled by accurate, organized data. WPC is an expert in healthcare data, including reimbursement, compliance, integration and predictive analytics. With the right mix of technologists, subject matter experts and data scientists, WPC offers payers, providers and health systems the decision support and business intelligence to transform data into understanding.

To learn more visit http://www.wpchealthcare.com

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Amanda Cecconi
since: 01/2012
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