A new electronic health records-agnostic tool from Cerner can identify patients at risk for falls with a 90 accuracy rate, according to the vendor.

The tool measures how a patient is walking, the speed of walking and every aspect of acceleration around the body’s center of gravity as the patient moves, the company explains. Used on a patient with knee surgery, for instance, the tool would read that the patient is accelerating differently by putting more pressure on one knee and the stride is off-balance.

Register or login for access to this item and much more

All Health Data Management content is archived after seven days.

Community members receive:
  • All recent and archived articles
  • Conference offers and updates
  • A full menu of enewsletter options
  • Web seminars, white papers, ebooks

Don't have an account? Register for Free Unlimited Access