Artificial intelligence and Blockchain technology enabling cybersecurity in telehealth systems

Abstract

New technologies like artificial intelligence (AI) and Blockchain have significantly transformed the telehealth industry. AI can revolutionize healthcare, improving treatment outcomes, enabling personalized medicine, and electronic health record (EHRs) management systems. However, this trend also poses many cybersecurity risks, making telehealth systems an easy target for hackers. Data breaches in telehealth are most often caused by inadequate cybersecurity measures, insider threats, and third-party breaches, which cost economies heavily on the taxpayer's revenue per incident. Telehealth systems' most common types of cyberattacks include ransomware, phishing, and malware attacks. This chapter exhaustively presents various telehealth concerns triggered by cybersecurity from a universal telehealth system perspective, its vulnerability, and what the future could hold for telehealth systems at the facility, patients' level, and other stakeholders. Identifiable attacks and imperatives for telehealth systems, over 15 global significances for medical data, are demonstrated and presented. The effects of these attacks can be identically complex, like data leaks, system downtime, financial losses, and damage to a person's reputation. In order to deal with these risks, the study further demonstrates a privacy and security framework that telehealth organizations can adopt to ensure that privacy and security are attained amidst better quality of services using a multi-pronged cybersecurity strategy that includes regular risk assessments, adequate cybersecurity measures, employee training, and incident response plans. Lastly, highlight how Blockchain can store, secure, and share patient data, including Electronic Health Records (EMR) and medical research data.

Ähnliche Arbeiten