Abstract

The integration of biometrics in health assessment protocols represents a transformative approach to personalized medicine and healthcare delivery. This paper explores the various biometric modalities such as fingerprint recognition, facial recognition, iris scanning, and voice recognition—and their application in assessing patient health and wellness. We analyze how biometric data can enhance the accuracy and efficiency of health assessments, improve patient identification and security, and facilitate remote monitoring and telehealth services. Furthermore, we discuss the ethical considerations, privacy concerns, and regulatory challenges associated with the use of biometric data in healthcare. By examining case studies and current implementations, this study highlights the potential benefits of integrating biometrics into health assessment protocols, including improved patient outcomes, enhanced data collection, and the promotion of a more patient-centered approach to healthcare. Ultimately, this integration holds promise for advancing the future of health assessments, ensuring that they are more accurate, efficient, and tailored to individual patient needs.