Examine the Effectiveness of AI Chatbots Responses on Health Library Reference Services

Abstract

The purpose of this study is to investigate the potential for AI chatbots to supplement health library reference services. The research seeks to provide valuable insights into AI chatbots' effectiveness, limitations, and best practices in healthcare libraries by analyzing how they respond to medical student reference queries. An extensive literature review was conducted to inform the design of an investigation into how AI chatbots respond to medical students' reference queries. Several key terms, including "artificial intelligence chatbots," "artificial intelligence technologies," "AI reference services," and "library reference services," were used to search scholarly databases. Research sources were screened for their functionalities, limitations, and best practices for AI chatbots in healthcare libraries. Artificial intelligence chatbots may even perform reference services, relieving librarians of their workload. AI chatbots can revolutionize healthcare education, reference services, and research. Health librarian and medical student training programs are necessary to ensure successful integration. Several factors hinder the integration of AI into library operations, such as insufficient funding, librarian disinterest, and technical skills shortages. Librarians should be prepared to integrate AI into library reference services and address concerns regarding information misuse in the future. AI has the ability to enhance library reference services, improve efficiency, and provide access to information. There are many benefits to implementing AI chatbots for health library reference services, including improved efficiency, 24/7 access to health information. The study outlines the importance of health libraries to the use of AI by medical students, as well as the role of AI-Chatbots can play in facilitating reference queries in this field.

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