Transforming the Paradigm of Care to Reduce Falls on a Medical-Surgical Unit Using Artificial Intelligence
Volume
8
Issue
3
$20$20.00
Standard Price
Hospitalized adults on medical-surgical units experience more fall-related harm than any other group. Novel technology in the form of an artificial intelligence sensor reduced falls on a highly acute neuroscience unit through workflow enhancements and improved efficiencies in care delivery.
This study piloted an integrated technology combining hardware mounted in the patient room, and companion software via mobile app, to test their ability to improve nurse surveillance and subsequent patient outcomes…
This literature review discusses the benefits and challenges of 3D printing in health care and nurse informaticians' pivotal role in this emerging technology…
Adults over 65 years old experience more falls with injury on medical-surgical units. Variability of fall risk tools and subjective error by the nurse completing the tool leads to missed interventions…
Privacy Policy Update: We value your privacy and want you to understand how your information is being used. To make sure you have current and accurate information about this sites privacy practices please visit the privacy center by clicking here.