Evaluating the Effectiveness of AI Chatbots in Chronic Disease Self-Management
DOI:
https://doi.org/10.56472/WCAI25-110Keywords:
AI Chatbots, Chronic Disease Self-Management, Digital Health Interventions, Patient Engagement, Health Technology EvaluationAbstract
This analysis examines the effectiveness of AI-powered chatbots in chronic disease self-management, focusing on conditions such as diabetes, cardiovascular diseases, respiratory disorders, and mental health comorbidities. Chatbots facilitate adherence to the treatment, monitoring of the result, and educating patients, through the possibilities of real-time interaction, automated monitoring as well as personal coaching. Cases show the increment of clinical outcomes such as HbA1c and blood pressure as well as a decline in the dependency on emergency care. Nevertheless, despite their scalability and cost-efficiency, some critical issues are still outstanding, including the privacy of data, predictive bias, regulatory limitations, and the issue of user trust. Future research needs and their implications on the long-term efficacy of the applicability to populations are also described in the paper. The results indicate that under the conditions of ethical design and appropriate control, AI chatbots can also be a radical force in building chronic care ecosystems that are accessible, continuous, and responsive
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