Medical facilities have little room for error when it comes to identifying patients. They must be identified with 100% accuracy to ensure healthcare teams provide the ...
Even after hospitals strip out names and zip codes, modern AI can sometime still work out who patients are. Great news for insurance companies; not so much for healthcare recipients. New research from ...
Author: Dr. Sean Kelly, MD, Chief Medical Officer and VP Customer Strategy, Healthcare at Imprivata and Attending physician, Beth Israel Lahey Health, Assistant Professor of Emergency Medicine, ...
Patient misidentification continues to pose a persistent safety risk throughout the NHS, yet it remains inadequately acknowledged and researched, a healthcare safety watchdog has warned. A new report ...
Misidentifying a patient can lead to significant consequences, including reduced clinical productivity, revenue loss and even patient harm. In a webinar sponsored by Imprivata and presented by ...
Failing to associate the right patient with the appropriate action, referred to as wrong-patient errors, is a prevalent occurrence with potentially fatal consequences, according to a report from the ...
Multiple hospitals and other healthcare facilities have been deploying HF RFID technology to address patient security, medication tracking and equipment sanitation, in order to ensure a safe ...
The authors created a machine learning–based model to identify patients with major depressive disorder in the primary care setting at high risk of frequent emergency department visits, enabling ...
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