Teleneurophysiology, the remote assessment and monitoring of neurological function using digital and telecommunication technologies, has emerged as a transformative approach in the field of neurology. This discipline bridges geographical barriers, providing access to diagnostic and therapeutic services for patients in underserved or remote areas. The current status quo of teleneurophysiology encompasses a wide array of applications, including remote electroencephalography (EEG), electromyography (EMG), and intraoperative neurophysiological monitoring (IONM). Advances in digital technology, artificial intelligence, and secure data transmission have improved diagnostic accuracy and operational efficiency. However, significant challenges remain. These include ensuring data security and patient privacy, overcoming regulatory disparities across regions, and addressing technological barriers such as bandwidth limitations and equipment standardization. Furthermore, the variability in telehealth adoption due to differences in healthcare infrastructure and professional training presents hurdles to global implementation. Future directions in teleneurophysiology involve the integration of artificial intelligence for automated analysis, enhanced interoperability of systems, and the adoption of machine learning algorithms for predictive diagnostics. Advances in wearable neurophysiological devices and real-time data streaming will likely enhance patient monitoring and engagement. Additionally, the establishment of global standards for data sharing and professional accreditation could promote uniformity and trust in remote neurophysiological practices. As the field evolves, teleneurophysiology has the potential to redefine neurological care, making it more accessible, efficient, and patient-centered, provided these challenges are addressed through collaborative efforts among clinicians, technologists, and policymakers.