Healthcare technology firm NextGate has announced the addition of a vendor neutral biometrics solution to improve the accuracy of identifying individuals and linking them to their medical records. The firm noted that adding facial recognition technology to the NextGate MatchMetrix platform would give organizations additional mechanisms to search for and identify patients, therefore improving the speed and accuracy of matching duplicate records, decreasing fraud, and improving patient safety.It added that, 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 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.”Facial recognition was chosen for this biometric solution because of its low cost, vendor neutrality, and ease of adoption for the user. As compared to other biometric solutions that require special equipment or training, NextGate's approach can use basic digital cameras or scanned photos, such as a driver's license, and can even process images from an existing database.

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