Artificial intelligence and natural language processing for improved telemedicine: Before, during and after remote consultation

The rapid evolution of telemedicine has revealed significant documentation and workflow challenges. Clinicians often struggle with the administrative burdens of telehealth visits, sacrificing valuable time better spent in direct patient interaction. This issue is further compounded by the need to maintain accurate and comprehensive records, which can be time-consuming and prone to error when approached manually. In this context, integrating artificial intelligence (AI) and natural language processing (NLP) technologies presents a transformative opportunity. Automating documentation and enhancing workflow efficiency can revolutionize healthcare delivery, alleviating clinician workloads and improving clinical quality and patient safety. Therefore, examining the application of these cutting-edge technologies becomes imperative in addressing the pressing needs of modern healthcare and optimizing health outcomes. The significance of integrating AI and NLP technologies in clinical remote practice cannot be overstated. Hence, this article aims to inspire and motivate healthcare professionals to embrace these transformative changes.