OPTIMIZED ACCESS-CONTROL FRAMEWORK FOR REVITALIZING THE SECURITY OF PATIENT-CENTRIC ELECTRONIC HEALTH RECORDS

Abstract

Artificial intelligence is being rapidly incorporated into healthcare systems, but it is not a panacea for all problems. Challenges include a shortage of medicinal datasets for training AI simulations, adversarial assaults, and dearth of confidence owing to its black box operating style are holding back AI's tremendous potential. We looked at how blockchain technology may raise the dependability also credibility of AI-based medical systems. To examine the most recent research articles on healthcare applications created using various AI approaches and Blockchain Technology, this paper performed a systematic literature review. This systematic literature review examines three distinct pathways in healthcare systems that include the ones that utilize natural language processing, those that employ computer vision, and those that rely on acoustic AI. As a consequence, we have created an intangible framework for AI-based healthcare applications utilizing Blockchain Technology that takes into account the requirements of every Computer Vision, NLP, and Acoustic AI application using etherscan.In this chapter, a Patient based Access Control Mechanism for a patient-centric e-Health System is presented to regulate the user resources. The proposed system establishes access control policies to automate the process of sharing health information across health service providers inside the e-Health system. The access control policies of the proposed system establish the access privileges and transfer permissions of the individuals involved in the Blockchain. The suggested method additionally enables data owners to revoke access, thereby restricting users' ability to view the data.

Keywords: Healthcare, Computer Vision, Blockchain, Natural Language Processing, Acoustic AI, Adversarial Attack, Etherscan, Access Control.