Healthcare organizations in the past have used passwords, ID cards, one-time passwords (OTPs), and security questions to check identities. These ways have some problems:
There is a clear need for faster, safer, and easier ways to confirm identity without losing privacy or security.
Biometric authentication uses parts of the body or behavior that are unique to each person. In healthcare, this technology helps make security better and patient visits smoother.
Two new biometric technologies gaining use in healthcare are:
Amazon One was created with Amazon Web Services (AWS) and electronic health record systems like Epic. It uses palm scanning to identify people without touching anything. NYU Langone Health is one example of a place using this technology widely.
Key Features:
Nader Mherabi, a leader at NYU Langone Health, says this tech helps improve patient care using advanced tools while keeping privacy safe.
The Amazon One system helps reduce delays by making patient ID checks faster. This lets staff spend more time caring for patients.
BIO-key International made a system that does not use phones, tokens, or passwords. It verifies identity by continuously checking physical features like fingerprints, faces, and palms.
Notable Attributes:
BIO-key’s system can be added slowly alongside old security methods. This helps healthcare providers change without upsetting their daily work.
Orange Bank & Trust Company works with BIO-key to show how cloud-based access with biometric checks can manage many locations well with centralized control.
Biometric identity checks can be used in many healthcare areas to improve how things run and keep patients safe. Some examples are:
Using biometric authentication affects how well healthcare operations work in several ways:
NYU Langone Health leaders like Nader Mherabi and Colleen Aubrey of AWS Solutions say it is important to “respect privacy while making check-ins easier.” By adding biometric authentication to existing systems like Epic, healthcare providers can gain these benefits without making things more complex.
Artificial intelligence (AI) combined with biometric authentication and workflow automation is an important new step for healthcare in the U.S. to get better efficiency and security.
Role of AI in Authentication:
Workflow Automation Benefits:
This mix of AI and biometric authentication cuts repetitive tasks and lessens staff work in healthcare. This gives staff more time to focus on patient care and improves how things run.
New biometric identity technologies like Amazon One’s palm scanning and BIO-key’s phoneless, tokenless system are changing healthcare in the U.S. These tools fix old problems with passwords and cards by offering fast, safe, and simple ways that make patients happier and reduce staff work.
Healthcare groups like NYU Langone Health show how biometric authentication can make check-in faster, protect important systems, and keep patient data safe. When combined with AI workflow automation, these tools help healthcare run more smoothly and let providers spend more time on care, not paperwork.
Medical administrators, owners, and IT teams in the U.S. will likely keep using these technologies as they work to update identity checks, improve patient experience, and keep healthcare data secure.
Amazon One is a contactless palm-scanning technology that allows patients to check in by securely confirming their identity with a palm scan. This technology streamlines the check-in process, making it faster and less prone to human error, ultimately enhancing the patient experience.
Amazon One prioritizes privacy by not allowing identification through scanned palm images. Data is encrypted during transmission to the AWS Cloud, where unique palm signatures are created. Security controls like encryption, data isolation, and restricted access protect patient data.
Palm recognition is considered more secure because it requires an intentional action from the user, preventing unauthorized access. Additionally, the unique nature of each palm print makes it difficult to replicate, enhancing overall security.
Amazon One boasts a 99.9999% accuracy rate with a recognition time of less than one second. This level of precision significantly reduces wait times and improves the reliability of identity verification compared to traditional methods.
No, patients are not required to use Amazon One. They can still access healthcare services and verify their identities through traditional methods if they choose not to enroll in the palm-scanning system.
Patients can enroll in Amazon One online from home or at NYU Langone locations using Amazon One-enabled devices before their appointment. The process takes just a few minutes to link their Amazon One Profile for identity authentication.
By implementing Amazon One, healthcare offices can serve more patients efficiently, reduce administrative burdens, and shift their focus back to delivering high-quality care, ultimately enhancing operational efficiency.
No, Amazon One does not collect or access any health information from patients. It is solely used for identity authentication purposes and does not engage in marketing or similar activities.
Yes, patients can unenroll from Amazon One and request the deletion of their palm data at any time, ensuring they maintain control over their personal information.
Future applications may include credentialing for access to shared computer systems and high-security areas, enhancing operational efficiency and security in healthcare settings.