Abstract

Telemedicine’s use of artificial intelligence is revolutionizing healthcare by improving the ability to monitor, diagnose, and treat patients remotely. However, in order to guarantee patient safety and the appropriate operation of healthcare systems, the incorporation of AI into telemedicine presents important legal and regulatory issues that need to be resolved. The legal and regulatory viewpoints on AI’s use in telemedicine are examined in this study, with particular attention paid to important concerns including data privacy, security, accountability, and adherence to healthcare regulations. Sensitive patient data is frequently used in AI-driven telemedicine apps, which means that privacy regulations like the General Data Protection Regulation (GDPR) in Europe and the Health Insurance Portability and Accountability Act (HIPAA) in the US must be strictly followed. These rules may make it more difficult for data to be shared easily across borders, even while they are intended to protect patient information. Liability issues are also brought up by the growing use of AI in decision-making, especially when AI algorithms are used to inform diagnosis or treatment recommendations. There is still a legal dispute over who is at fault, whether it is the AI systems themselves, developers, or healthcare providers. Regulations governing telemedicine must also change to take AI technologies into account. These regulations should handle matters like licensure, payment, and the range of practice for medical professionals who use AI tools. This study looks at current frameworks and how well they adjust to new technology, pointing out areas that require modification in order to strike a balance between patient safety and innovation. This study attempts to add to the continuing discussion about the ethical, legal, and practical aspects of integrating AI in healthcare by offering a thorough examination of the legal and regulatory ramifications of AI in telemedicine. Ultimately, to ensure the safe, efficient, and just application of AI in telemedicine, a thorough and transparent regulatory framework is required.

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