Impact of AI-Based Chatbots in Providing Telemedicine Support

DOI: https://doi.org/10.63345/ijrmp.v12.i11.2

Bhavya Shekhawat

Independent Researcher

Rajasthan, India

Abstract

The advent of artificial intelligence (AI) in healthcare has spurred significant interest in its application within telemedicine, particularly through the deployment of chatbots. This manuscript investigates the impact of AI-based chatbots in telemedicine support by evaluating their effectiveness in improving patient engagement, enhancing accessibility, and streamlining clinical workflows. Through a detailed review of literature up to 2022, a statistical analysis comparing key performance indicators, and a description of the methodology and results from a pilot study, this paper provides evidence of how chatbots are revolutionizing remote healthcare delivery. The findings indicate that AI-driven chatbots can reduce patient wait times, increase the accuracy of initial symptom screening, and support clinicians in managing large volumes of patient interactions. The manuscript concludes with a discussion of the potential scope for further integration of AI in telemedicine and acknowledges limitations related to algorithm biases and data privacy concerns.

Keywords

Telemedicine; AI-Based Chatbots; Patient Engagement; Remote Healthcare; Digital Health; Machine Learning

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