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 ...

Hospitals’ methods for gathering patient information remain largely imprecise, which can lead to costly, long-lasting ramifications on hospital finances downstream. Many hospitals largely rely on ...

Misidentifying patients can have tragic consequences. Numerous catastrophic cases and near misses have been collected by Patient ID Now, a coalition of health care organizations we are affiliated with ...

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 ...

MedAssets has partnered with HT Systems to jointly market PatientSecure, a biometric patient identification system, to enhance its Access Integrity suite of solutions, according to a company news ...

Cautious Artificial Intelligence Improves Outcomes and Trust by Flagging Outlier Cases In total, 139,057 radiology reports on 6,211 unique patients from the Department of Veterans Affairs were used.

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 ...