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
Institutions
- National Institute of Technology Jamshedpur (IN)
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