Digital medical record concept Stakeholders are calling for greater transparency and accountability across the health care industry in how the use of algorithms is audited and how to avoid bias in predictive models. (Photo: Shutterstock)

The use of machine-learning algorithms is helping the health care industry efficiently collect and manage vast amounts of data.

“The amount of data collected about health care in the United States is enormous and continues to grow rapidly,” according to a report in Health Affairs. “Machine learning has become embedded in the health insurance industry for tasks such as predicting early disease onset, determining the likelihood of future hospitalizations and predicting which members will be medication-noncompliant. Algorithms are often developed to optimize interventions to drive improved health outcomes.”

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