The tool is affixed around a patient’s waist, and the patient then walks around a clinic for 10 minutes. Using mathematical models and time series analysis, the tool calculates the patient’s movement, speed and activity to deliver a personalized assessment of the patient and the risk of falling.
The EHR-agnostic tool can help identify fall-risk patients with 90 percent accuracy, according to Cerner.
“We are steadfastly committed to creating the innovations that will help providers deliver the best care, every time, for every person at the lowest attainable cost,” said Doug McNair, president of Cerner Math. “Developing an improved solution to prevent fall-related injuries is a win-win for patients and providers.”
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