Telehealth
This data examines the evolution of telehealth technologies across three distinct phases: Pre-2010, 2010–2019, and 2020–Present. The timeline highlights the progression from basic video consultations and electronic health records (EHR) to more advanced remote patient monitoring, mobile health applications, and cloud-based platforms. Recent advancements in AI-powered diagnostics, natural language processing (NLP) for clinical documentation, predictive analytics, and virtual health assistants represent a transformative shift in healthcare delivery.
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Artificial Intelligence (AI) is revolutionizing telehealth by addressing persistent challenges in diagnosis, patient monitoring, and healthcare accessibility. This data evaluates AI's integration into telehealth systems, emphasizing its transformative role in enhancing diagnostic precision, personalizing treatments, and bridging gaps in healthcare equity. The study explores methodologies such as machine learning, natural language processing, and predictive analytics, presenting their impact on optimizing care delivery.
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