A Biometric Approach for Electronic Healthcare Database System using SAML - A Touchfree Technology

Devi, T.; Ramachandran, A.; Deepa, N.

In Healthcare 4.0, the enhanced view is to analyze the highly affected people in one common disease. In 2021, the global pandemic scenario poses the greatest threat to human life owing to Covid-19. In this approach, medical records and their accessibility play an important role in dealing with illnesses and problems in electronic healthcare record systems (EHR). The proposed system provides a solution for tracking the affected person, who is not in control to isolate them during the high symptoms situation. Security Assertion Markup Language (SAML) is an authentication protocol that helps to prevent other human lives to be saved by providing mobile based health care systems. In such cloud access the credentials are turned in important credential authentication such that pass code allows authorizing doctors and caretakers to access it. Since SAML transactions are enabled with border control such that proof of Covid positive people can be recognized easily with the fingerprint scanning. Also proposed work using the SAML protocol for authentication which helps to provide environment for mobile applications for COVID-observed patients to identify the user who are remotely in access by applying the bio-id generated and updated in Cloud service provider. Also on boarding people who are available for supporting the patients. The main objective of the proposed work using healthcare 4-0 as authentication system is to provide Covid patient instant support for availability of necessary control through biometric border control such that the instant death can be avoided by finding the positive patients using their fingerprint and performance the least access from the huge database. Results from implementation using various affected patients from Covid strategies show the reliable data and secured protocol using SAML gives a better performance compared to other services. © 2021 IEEE.