AI-Powered Conversational Agents in Indian Healthcare: Improving Patient Engagement

Authors

  • Dr. Nidhi Verma

DOI:

https://doi.org/10.36676/urr.v8.i4.1411

Keywords:

Conversational AI, Natural Language Processing, Patient Engagement

Abstract

The Indian healthcare sector is witnessing a surge in the adoption of AI-powered conversational agents to improve patient engagement and streamline healthcare services. This paper investigates how Natural Language Processing (NLP) and Machine Learning (ML) algorithms are used to develop conversational agents for healthcare applications in India. The study examines the effectiveness of these systems in addressing patient queries, providing appointment reminders, and delivering personalized health advice. The paper also explores the integration of these systems with Electronic Health Records (EHR) for improved diagnosis and treatment plans. Challenges such as language diversity, data security, and the need for regulatory approval are discussed.

References

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Published

2021-12-24
CITATION
DOI: 10.36676/urr.v8.i4.1411
Published: 2021-12-24

How to Cite

Dr. Nidhi Verma. (2021). AI-Powered Conversational Agents in Indian Healthcare: Improving Patient Engagement. Universal Research Reports, 8(4). https://doi.org/10.36676/urr.v8.i4.1411

Issue

Section

Original Research Article