5 most-read predictive analytics stories of 2017

Here are the five most-read predictive analytics stories reported by Becker's Hospital Review during 2017.

1. The growth of predictive analytics — 7 thoughts and observations

Healthcare organizations are applying predictive analytics to solve a variety of business problems, such as staffing issues, and a number of clinical issues, such as pneumonia.

2. Predictive analytics may save healthcare budgets 15%, survey finds

Ninety-three percent of healthcare provider and payer executives agree predictive analytics are important to the future of their business, according to a Society of Actuaries report.

3. New algorithm helps predict the chance of patient death within a year

Researchers at Stanford (Calif.) University developed a neural network that examines patient records to estimate the chance of mortality in the next three to 12 months, according to a paper published in arXiv.

4. VA uses predictive analytics to identify, support suicidal veterans

Veterans report a higher risk of suicide than the general public, with recent research suggesting 20 veterans die from suicide each day.

5. Geisinger, Boehringer Ingelheim to develop predictive model for Type 2 diabetes

Danville, Pa.-based Geisinger Health System and pharmaceutical company Boehringer Ingelheim joined forces to create a predictive model to improve health outcomes for Type 2 diabetes patients.

More articles on data analytics & precision medicine:
FTC issues privacy warning over direct-to-consumer genetic tests
Former IBM Watson oncologist named VP of precision medicine startup: 4 things to know
UNC researchers find Watson for Genomics tech useful for identifying potential therapies

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