A newly released framework calls on the federal government to create and implement a national strategy around patient identification that protects patient safety and privacy. A new framework released ...

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 ...

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 ...

The Match IT Act of 2024, now before Congress, would create a federal definition for 'patient match rate' that providers would address as they would a clinical quality measurement A new bill before ...

Patient misidentification is a growing problem in the U.S., with dangerous and even fatal consequences. Traditional identification methods, such as using patient names and dates of birth, are prone to ...

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 ...