The findings indicate that chatbot integration may contribute to enhanced system efficiency and reduced inequalities in access to outpatient care, provided that implementation is accompanied by appropriate regulatory, ethical, and institutional safeguards.
Abstract
Artificial intelligence (AI) and chatbots are expected to play an increasingly important role in patient management systems worldwide. These technologies have the potential to support preliminary triage, reduce waiting times, and alleviate the administrative burden placed on healthcare professionals. At the same time, their application raises substantial challenges related to data protection, ethical accountability, clinical responsibility, and professional practice. The purpose of this study is to present the opportunities and limitations of chatbot applications in healthcare and to illustrate their regional relevance in Hungary through the example of Northern Hungary. Based on a structured literature review and secondary data analysis, the findings indicate that chatbot integration may contribute to enhanced system efficiency and reduced inequalities in access to outpatient care, provided that implementation is accompanied by appropriate regulatory, ethical, and institutional safeguards.
It is concluded that the integration of artificial intelligence into medical education should occur in an ethical and critical manner, preserving the human nature of clinical practice.
Carlos Alberto Severo Garcia, C. Tomasi, I. Toreti et al.· Revista Bioética· 0 citations
Artificial intelligence (AI) is a transition from an old speculative idea to a new comprehensive idea that is a vital element for healthcare and medical education. AI is either generative or assistive, strengthening the field of study. The most popular generative AI platform, ChatGPT, along with other language models,...
Sadia Choudhury Shimmi· Borneo Journal of Medical Sc...· 0 citations
Development of tailored AI health care applications has become a major research focus in recent years, but relatively little research has addressed current patient use of general-purpose AI chatbots for health-related tasks. Today, many people use AI chatbots to seek information and advice, make diagnoses, and inform o...
AI-driven chatbots have been utilized in healthcare to automate administrative tasks, improve patient education, and expand access to medical information; however, their role in genetic counseling remains underexplored. To investigate the adoption, perceptions, and potential utility of AI-based chatbots in genetic coun...
Nicole Daley, A. Griswold, Laura Moreno et al.· Journal of Genetic Counselin...· 0 citations
Generative artificial intelligence (AI) chatbots are conversational agents that simulate human-like conversations in real-time, including behavioral health support, thus presenting challenges for monitoring and intervening on suicide risk. There is little information on how to address suicide risk in chatbot deployment...
Joanna M. Streck, Dallas T. Swendeman, W. Comulada et al.· npj Digital Medicine· 0 citations
A list of eight best practices was created to assist developers with designing AI systems in a way that would reduce the overall risk of harm for users attempting to use their AI for mental health cases.
Joshua Frankenfield, Briana M. Sobel, Barbara Chaparro· Proceedings of the Internati...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
