WEB COMMUNICATION BETWEEN PATIENTS AND THEIR CATEGORIES WITH AI
Keywords:
artificial intelligence (AI), web communication, patient categorization, healthcare technology, digital health, intelligent triage, natural language processing (nlp), personalized medicine, patient engagementAbstract
The integration of artificial intelligence (AI) into web-based healthcare
communication is revolutionizing how patients interact with medical systems. This article explores
how AI enables more personalized, efficient, and accessible communication by categorizing
patients based on their specific healthcare needs—such as chronic care, mental health, or
preventive services. By leveraging AI tools like natural language processing, intelligent triage, and
predictive analytics, healthcare providers can deliver tailored experiences that improve patient
outcomes and satisfaction.
References
Topol, E. (2019). Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. Basic Books.
Wang, Y. (2017). Artificial intelligence in healthcare: past, present and future. Stroke and Vascular Neurology, 2(4), 230–243. https://doi.org/10.1136/svn-2017-000101
Zhou, L., & Parmanto, B. (2019). Reaching people with disabilities in underserved areas through digital interventions: Systematic review. Journal of Medical Internet Research, 21(10), e12981. https://doi.org/10.2196/12981
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