Title : The role of AI in enhancing data security in healthcare
Abstract:
Given the world’s several healthcare systems have embraced the digital environment for service delivery, patient data confidentiality is now more vital. This abstract aims to discuss the importance and application of artificial intelligence (AI) in strengthening the security of data within healthcare facilities. However, the healthcare industry is a major target of cyber criminals because medical records contain sensitive information that can be used for fraud such as caching of insurance. New and evolving threats are becoming complex and challenging, and coupled with the current shift to digital solutions that resulted from the COVID-19 outbreak, conventional security mechanisms fail to offer adequate protection. AI presents new possibilities that are revolutionizing data protection measures by way of progressive detection of threats, automated counteractions of incidents, and improved data protection methodologies. With the help of AI-enabling technologies like ML and behavioral analytics, it is now possible to find patterns or outliers that could be an indication that a security threat is soon to be unleashed, if not already active, in real time. Some of them increase the detection capability while the rest enhance the response procedures, thus leading to a shorter time duration in which potential breaches could occur. Moreover, AI improves encryption techniques and allows the integration of privacy- preserving solutions, including federated learning and homomorphic encryption, which consists of protecting patient data while still allowing for analysis. For that matter, AI is used to regularly check systems for compliance with rules such as the Health Insurance Portability and Accountability Act (HIPAA), in regulatory compliance and risk management. Risk can also be evaluated and handled by AI systems by using data from various sources, thus enabling healthcare organizations to target the major security threats to their structure. However, the use of AI in healthcare security has this issue that cannot be ignored. Large investments are still required for developing technology in this field, there are possibilities of adversarial attacks against these models and there are still issues of the ethicality of using AI in healthcare. However, there are challenges to the success of AI in enhancing data security in the healthcare industry, nevertheless, the future of AI in data security in the healthcare industry is enormous, as the healthcare industry turns into a center of digital information, patient’s data security remains an important aspect to be enhanced with technology. Thus, this abstract underlines the specifics of the role AI plays in strengthening data protection in the healthcare industry and its sustainability, as well as the issues it raises.
