Machine Learning to improve quality of healthcare

HICAGO, Sept. 17, 2018 /PRNewswire/ -- Today, QuartzClinical (Chicago, IL) introduces its next generation machine learning prediction algorithms that can help hospitals deliver better health and better care for a lower cost. By reducing readmission to the hospital, inpatient mortality, and length of stay associated with many surgical procedures, QuartzClinical's healthcare data analytics platform offers a solution to the escalating cost of healthcare and increasingly unaffordable health insurance premiums.

Through the use of predictive algorithms, artificial intelligence, and big data, QuartzClinical can use an individual patient's information to predict the likelihood of adverse outcomes, readmission to the hospital, and even death. With an industry leading accuracy, hospitals and physicians are able to use this information to improve clinical care, thus realizing healthcare's goal of delivering personalized medicine.

Members of QuartzClinical's internationally-recognized and award-winning team will be presenting these findings at the upcoming Health 2.0 convention in Santa Clara, California, the International Hospital Federation meeting in Brisbane, Australia, the American College of Surgeons meeting in Boston, Massachusetts later this year, and the National Association of Healthcare Quality meeting in Minneapolis, Minnesota.

Learn more about the QuartzClinical platform at

About QuartzClinical

QuartzClinical is a division of the Surgisphere Corporation, a medical education and healthcare data analytics company based in Chicago, Illinois. QuartzClinical is a sophisticated healthcare data analytics platform that combines hospital financial and clinical information in innovative ways to identify key opportunities for improvement.

SOURCE Quartz Clinical

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