A pilot program that uses big data to predict which lung cancer patients will require a trip to an emergency department (ED) successfully anticipated a third of all ED visits over a two week trial period, and was further ...
Sep 27, 2017
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Algorithms and analytics are now common used by professional sports, in sales forecasts, lending decisions and by car insurance providers. Managers and other decision makers no longer simply "go with their gut." But doctors ...
Oct 18, 2021
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Electronic triggers designed to search for key data, developed by researchers at Baylor College of Medicine and Michael E. DeBakey Veterans Affairs Medical Center, were able to identify and reduce follow-up delays for patients ...
Aug 24, 2015
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Data from a new USC study shows a significant increase in the risk of severe outcomes for COVID-19 patients exposed to fine particles (PM2.5) and nitrogen dioxide (NO2), two common (and correlated) components of ambient air ...
May 25, 2022
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A new risk prediction tool can identify patients at high risk of coronary artery disease who might need further diagnostic work, says a study published on BMJ today. The tool is more accurate than existing models and could ...
Jun 12, 2012
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(HealthDay)—From 2009 to 2018, there was an increase in the incidence of nonalcoholic fatty liver disease (NAFLD) among children, although many still remain undiagnosed, according to a study published online Nov. 19 in ...
Nov 19, 2020
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A new app can predict the likelihood that a patient will develop an incisional hernia following abdominal surgery, using big data to potentially help address a problem effects one out of every eight of these surgical patients. ...
Apr 12, 2019
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In the fast-paced world of health care, doctors are often pressed for time during patient visits. Researchers at the University of Missouri developed a tool that allows doctors to view electronic information about patients' ...
Nov 18, 2011
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In a peer-reviewed commentary published in npj Digital Medicine, experts from Regenstrief Institute, Mayo Clinic and The Pew Charitable Trusts write that matching patient records from disparate sources is not only achievable, ...
Jun 2, 2020
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Patients who, perhaps unbeknownst to their health care providers, are in need of genetic testing for rare undiagnosed diseases can be identified en masse based on routine information in electronic health records (EHRs), a ...
Jun 3, 2021
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