Ethical Implications of Chatbot Utilization in Nephrology

Author:

Garcia Valencia Oscar A.1ORCID,Suppadungsuk Supawadee12ORCID,Thongprayoon Charat1,Miao Jing1ORCID,Tangpanithandee Supawit12ORCID,Craici Iasmina M.1,Cheungpasitporn Wisit1ORCID

Affiliation:

1. Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA

2. Chakri Naruebodindra Medical Institute, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Samut Prakan 10540, Thailand

Abstract

This comprehensive critical review critically examines the ethical implications associated with integrating chatbots into nephrology, aiming to identify concerns, propose policies, and offer potential solutions. Acknowledging the transformative potential of chatbots in healthcare, responsible implementation guided by ethical considerations is of the utmost importance. The review underscores the significance of establishing robust guidelines for data collection, storage, and sharing to safeguard privacy and ensure data security. Future research should prioritize defining appropriate levels of data access, exploring anonymization techniques, and implementing encryption methods. Transparent data usage practices and obtaining informed consent are fundamental ethical considerations. Effective security measures, including encryption technologies and secure data transmission protocols, are indispensable for maintaining the confidentiality and integrity of patient data. To address potential biases and discrimination, the review suggests regular algorithm reviews, diversity strategies, and ongoing monitoring. Enhancing the clarity of chatbot capabilities, developing user-friendly interfaces, and establishing explicit consent procedures are essential for informed consent. Striking a balance between automation and human intervention is vital to preserve the doctor–patient relationship. Cultural sensitivity and multilingual support should be considered through chatbot training. To ensure ethical chatbot utilization in nephrology, it is imperative to prioritize the development of comprehensive ethical frameworks encompassing data handling, security, bias mitigation, informed consent, and collaboration. Continuous research and innovation in this field are crucial for maximizing the potential of chatbot technology and ultimately improving patient outcomes.

Publisher

MDPI AG

Subject

Medicine (miscellaneous)

Reference78 articles.

1. Smestad, T.L. (2018). Personality Matters! Improving the User Experience of Chatbot Interfaces-Personality Provides a Stable Pattern to Guide the Design and Behaviour of Conversational Agents. [Master’s Thesis, NTNU (Norwegian University of Science and Technology)].

2. Attention is not all you need: The complicated case of ethically using large language models in healthcare and medicine;Harrer;EBioMedicine,2023

3. An Overview of Chatbot Technology;Adamopoulou;Artif. Intell. Appl. Innov.,2020

4. Altinok, D. (2018). An ontology-based dialogue management system for banking and finance dialogue systems. arXiv.

5. Benefits, Limits, and Risks of GPT-4 as an AI Chatbot for Medicine;Lee;N. Engl. J. Med.,2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3