CHATBOTS FOR HEALTHCARE: TRANSFORMING PATIENT CARE THROUGH CONVERSATIONAL AI

Healthcare systems worldwide face mounting pressure from aging populations, rising healthcare costs, and increasing demand for accessible medical services[1]. Chatbots, powered by artificial intelligence and natural language processing, have emerged as a promising solution to address these challenges[2]. This paper examines the current landscape of healthcare chatbots, their applications across various medical domains, benefits and limitations, implementation challenges, and future prospects. Through analysis of existing literature and case studies, we demonstrate that healthcare chatbots can significantly improve patient engagement, reduce healthcare costs, and enhance accessibility to medical information and services[3]. However, concerns regarding accuracy, privacy, regulatory compliance, and the need for human oversightremain critical considerations for successful implementation[4]. Keywords: Healthcare chatbots, conversational AI, telemedicine, patient engagement, digital health, artificial intelligence

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-14
DOI
https://doi.org/10.5281/zenodo.16869951
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
0.00
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article

CHATBOTS FOR HEALTHCARE: TRANSFORMING PATIENT CARE THROUGH CONVERSATIONAL AI

Zenodo (CERN European Organization for Nuclear Research)
Digital Mental Health Interventions
article

CHATBOTS FOR HEALTHCARE: TRANSFORMING PATIENT CARE THROUGH CONVERSATIONAL AI

article en

Abstract

Healthcare systems worldwide face mounting pressure from aging populations, rising healthcare costs, and increasing demand for accessible medical services[1]. Chatbots, powered by artificial intelligence and natural language processing, have emerged as a promising solution to address these challenges[2]. This paper examines the current landscape of healthcare chatbots, their applications across various medical domains, benefits and limitations, implementation challenges, and future prospects. Through analysis of existing literature and case studies, we demonstrate that healthcare chatbots can significantly improve patient engagement, reduce healthcare costs, and enhance accessibility to medical information and services[3]. However, concerns regarding accuracy, privacy, regulatory compliance, and the need for human oversightremain critical considerations for successful implementation[4]. Keywords: Healthcare chatbots, conversational AI, telemedicine, patient engagement, digital health, artificial intelligence

Zenodo (CERN European Organization for Nuclear Research)
National Institute of Technology Jamshedpur (IN)
Openalex Percentile: Top 52%
Digital Mental Health Interventions
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CHATBOTS FOR HEALTHCARE: TRANSFORMING PATIENT CARE THROUGH CONVERSATIONAL AI · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS