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    Home » NYU Langone Health to Implement Amazon’s Palm Scan Technology for Patient Check-In
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    NYU Langone Health to Implement Amazon’s Palm Scan Technology for Patient Check-In

    techgeekwireBy techgeekwireMarch 4, 2025No Comments2 Mins Read
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    One of New York’s largest healthcare providers, NYU Langone Health, will begin using Amazon’s palm scan technology, Amazon One, to electronically check in patients upon their arrival for appointments. The implementation aims to reduce waiting times and minimize delays, ultimately enhancing the patient experience while ensuring security and privacy.

    This marks the inaugural deployment of Amazon One within a healthcare setting, with plans for rapid expansion across multiple locations by the year’s end. The system, which combines palm and vein imagery, boasts a 99.9% accuracy rate, surpassing the precision of human iris scans.

    Nader Mherabi, Executive Vice President and Vice Dean, Chief Digital and Information Officer at NYU Langone, emphasized the patient-centered approach: “We make all decisions with our patients in mind first and foremost, and we’re always looking for ways to improve their experience through technology. With all new initiatives and technology of this scale, we will optimise over time and meet the needs of our patients.”

    Amazon Web Services (AWS) collaborated with Epic, NYU Langone’s electronic health record system, to integrate Amazon One. This integration streamlines identity authentication and optimizes administrative functions, including appointment booking. Notably, the system does not collect any personal health information from patients.

    Patients can enroll in Amazon One online from their homes, linking their Amazon One profile to the NYU Langone portal in a matter of minutes. The system analyzes multiple attributes of each palm, selecting the most unique identifiers to create a personalized palm signature, leveraging the individuality of each person’s unique palm.

    Amazon One Healthcare Technology NYU Langone Health palm scan patient experience
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