CONVERSATIONAL AI AND LLM'S CURRENT AND FUTURE IMPACTS IN IMPROVING AND SCALING HEALTH SERVICES
Keywords:
Telehealth, Artificial Intelligence, Large Language Models, Machine Learning, Deep Learning, Healthcare Technology, Remote Consultation, Telemedicine Innovation, Technical ChallengesAbstract
This paper explores the intersection of artificial intelligence (AI) and large language models (LLMs) within the evolving landscape of telehealth services. The rise of telemedicine, driven by technological advancements, presents opportunities for innovation in healthcare. The integration of AI and LLMs aims to enhance diagnostic accuracy, patient outcomes, and overall efficiency in remote healthcare delivery. The paper discusses the classification of AI, emphasizing machine learning and deep learning, and highlights the role of AI in telehealth. Additionally, it delves into the emergence of LLMs and their potential as supplementary assets for informed telehealth professionals. Despite the promising prospects, the paper addresses challenges such as technical barriers, privacy concerns, and patient preferences for face-to-face visits. The proposed solutions include coding modifications, standardization of documentation, and utilizing AI to address privacy issues. The paper concludes by emphasizing the transformative impact of AI and LLMs on telehealth, providing insights into addressing challenges and optimizing patient experiences
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