Biometric Technologies in Healthcare Biometrics

Biometric Technologies in Healthcare Biometrics

Rinku Datta Rakshit (Asansol Engineering College, India) and Dakshina Ranjan Kisku (National Institute of Technology Durgapur, India)
Copyright: © 2019 |Pages: 28
DOI: 10.4018/978-1-5225-7525-2.ch001

Abstract

The aim of this chapter is to introduce biometrics systems and discuss the essential components of biometrics technologies in the healthcare system. The discussion also includes the state-of-the-art biometrics technologies, selection criteria of a suitable biometrics system, biometrics identity management, and multi-biometrics fusion for healthcare biometrics system.
Chapter Preview
Top

Introduction

Recently the concernment for biometrics is increasing swiftly to safeguard a patient’s secrecy and the confidentialness of patient’s actuality in the healthcare system. Identifying a patient and protecting a patient file is a ticklish task in any healthcare system. Due to improper identification, patients may lose their life in some cases. An unconscious patient cannot present an ID. The traditional patient tagging or mismatch between patient tag and hospital records are not free from flaws due to clerical mistakes or errors. This type of error can raise the inaccurate identification, wrong blood transfusion, or deceitful medicine infliction, which may be very dangerous for a patient’s life. Therefore, there is a need for robust identification using biometrics in the healthcare system.

The term biometrics is a combination of two terms – ‘bios’ means life and ‘metrics’ means assessment. It refers to the metrics related to the physical and behavioral traits of human beings. The biometrics technology is implemented to analyze people for their identification, access control or surveillance by means of their biological information. Every person is unique and comprises a separate identity in the form of physical traits like fingerprint, face, iris, hand geometry and behavioral traits like voice, typing rhythm, and gait. Biometrics technologies are defined as automated way of recognizing or ascertaining the identity of an individual arisen on an idiosyncratic biological (anatomical or physiological) or behavioral characteristics. It is very ticklish to feign a biometrics authentication system as biometrics can give invulnerable and competent recognition of a person and they cannot be plundered or unremembered. A biometrics system comprises four major modules –

  • A device is used to take sample of a particular biometrics trait of an individual. These devices capture biometrics sample in some digital form.

  • A feature extraction software module is used to transform the input biometrics sample into a template that is the fundamental component of the matching phase.

  • A matching software module perpetrates comparison of an input biometrics sample with previously stored biometrics templates.

  • An interface facilitates the communication of a person with the application system.

The choice of the applicable biometrics technology is a crucial task. It depends on the circumstance where the identification or verification system is enacted, the user scheme, needs for matching precision, and the implementation cost of the system and strengths, and cultural convention that could influence user adoption. To choose the proper biometrics technology, the prime factor which is used is its accuracy.

Biometrics identity is the physical or behavioral traits of a human being. Using biometrics identity of a patient, a healthcare system can simplify patient admission and immediately get entree to previous medical files. Biometrics identity also facilitates to recognize senseless or wretched patients easily, find out abuse of medical services, and establish an unprecedented way of identification across all medical services.

Biometrics identity management in healthcare is a combination of computer security and business management to ascertain that resources are to be accessed by patients, physicians, and the right healthcare personnel must be available for the right reasons. As the healthcare systems are growing exponentially and related records are accessed by several healthcare personnel concurrently, therefore the records must be protected securely. Resources in a healthcare system are very important artifacts for patients, doctors, and other healthcare personnel, so assuring that resources are protected against unauthorized access become crucial. Biometrically authenticated identity ensures that only authorized user is accessing the resources, not by imposters using fabricated identity token. Biometrics identity management eliminates the likelihood of spoofing.

Key Terms in this Chapter

Similarity Score: Similarity score is the score generated at the matching stage of a biometrics system.

Verification: Verification is the act of verifying an identity what he/she claims (1:1 matching).

Matching: Matching compares the test sample with the training samples.

Biometrics Identity Management: Identity management is also known as identity and access management (IAM) which is used to ensure that resources are accessed only by the right people, at the right time and for the right reasons in the field of computer security and business discipline.

Preprocessing: Preprocessing dispels artifacts from the sensor to enhance the quality of the input biometrics sample (e.g., removing background noise).

Feature Extraction: Feature extraction transforms an input image into a set of features.

Biometrics Identity: Biometrics identity refers to biometrics traits which are used to identify a person.

Multi-Biometrics System: A multi-biometrics system integrates information from multiple biometrics traits, algorithms, sensors, and other components to make a recognition procedure more secure.

Complete Chapter List

Search this Book:
Reset