Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Efficient patient service in hospitals is critical for improving patient satisfaction and reducing administrative workload. Billing queries often constitute a significant portion of hospital inquiries, leading to delays and operational inefficiencies. This paper presents the design, implementation, and evaluation of a digital chatbot that addresses patient billing queries in real-time. The chatbot leverages natural language processing (NLP) and integrates with hospital billing systems to provide accurate responses, reduce human workload, and enhance patient experience. Experimental results demonstrate a 70% reduction in manual billing query handling and improved response time, highlighting the potential of AI-driven solutions in healthcare administration.
Keywords:
Digital Chatbot, Hospital Billing, Natural Language Processing, Healthcare Innovation, Patient Query Management
Cite Article:
"Digital Chatbot for Hospital Billing Query Management: An Innovative Approach", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 11, page no.b811-b813, November-2025, Available :http://www.ijrti.org/papers/IJRTI2511193.pdf
Downloads:
000243
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator