NextGate adds facial recognition to patient ID platform

September 2, 2016 - 

Healthcare technology company NextGate have added facial recognition technology to its MatchMetrix platform, giving organizations additional mechanisms to search for and identify patients, thereby improving the speed and accuracy of matching duplicate records, decreasing fraud, and improving patient safety.

Built on a neural network, NextGate’s facial recognition solution is trained to recognize important compositional features and then convert that information into a score. The score is incorporated into NextGate’s #1 KLAS rated Enterprise Master Patient Index (EMPI) as an additional measure to be weighed and calculated during patient identification, providing an even more precise link between a patient and their medical records.

“Biometrics extend the reach of patient identification, giving organizations more flexibility, accuracy, and confidence when locating, aggregating, and sharing patient records,” says Dan Cidon, Chief Technology Officer, NextGate. “The low cost yet sophisticated technology can be deployed in various environments, from self-service kiosks to the Emergency Room, enabling rapid identification of patients and access to their clinical information across the enterprise.”

According to a statement from the company, facial recognition was chosen for this biometric solution because of its low cost, vendor neutrality, and ease of adoption for the user. NextGate’s approach can use basic digital cameras or scanned photos, such as a driver’s license, and can process images from an existing database.

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About Stephen Mayhew

Stephen Mayhew is the publisher and co-founder of Biometrics Research Group, Inc.. His experience includes a mix of entrepreneurship, brand development and publishing. Stephen attended Carleton University and lives in Toronto, Canada. Connect with Stephen on LinkindIn.