Generative AI as Virtual Healthcare Assistant for Enhancing Patient Care Quality

A. Samala, Soha Rawas
{"title":"Generative AI as Virtual Healthcare Assistant for Enhancing Patient Care Quality","authors":"A. Samala, Soha Rawas","doi":"10.3991/ijoe.v20i05.45937","DOIUrl":null,"url":null,"abstract":"This study investigates the potential of Chat Generative Pre-Trained Transformer (ChatGPT) as a virtual healthcare assistant to enhance the quality of patient care. Inadequate patient care within healthcare systems is a key issue that has resulted in lower satisfaction and medical errors. Virtual healthcare assistants, exemplified by ChatGPT, have emerged as a promising solution to mitigate these challenges. A comprehensive literature review compares the benefits and drawbacks of using virtual healthcare assistants with those of human healthcare providers to assess their effectiveness in enhancing patient care. The article discusses the ChatGPT development process, including the data sources used, training and validation, and the integration of this technology into healthcare systems. The results of testing ChatGPT in patient care, including patient feedback, are provided. The study interprets these findings and indicates that ChatGPT can significantly enhance patient care. The implications of implementing virtual healthcare assistants in the healthcare sector are also explored, along with potential future research areas for enhancing ChatGPT. This study provides important new insights into how virtual healthcare assistants might enhance patient care and offers recommendations for healthcare organizations and legislators on leveraging ChatGPT. It shows that the astonishing development in patient care, known as ChatGPT, has the potential to revolutionize the healthcare industry.","PeriodicalId":507997,"journal":{"name":"International Journal of Online and Biomedical Engineering (iJOE)","volume":"3 2‐3","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Online and Biomedical Engineering (iJOE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3991/ijoe.v20i05.45937","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This study investigates the potential of Chat Generative Pre-Trained Transformer (ChatGPT) as a virtual healthcare assistant to enhance the quality of patient care. Inadequate patient care within healthcare systems is a key issue that has resulted in lower satisfaction and medical errors. Virtual healthcare assistants, exemplified by ChatGPT, have emerged as a promising solution to mitigate these challenges. A comprehensive literature review compares the benefits and drawbacks of using virtual healthcare assistants with those of human healthcare providers to assess their effectiveness in enhancing patient care. The article discusses the ChatGPT development process, including the data sources used, training and validation, and the integration of this technology into healthcare systems. The results of testing ChatGPT in patient care, including patient feedback, are provided. The study interprets these findings and indicates that ChatGPT can significantly enhance patient care. The implications of implementing virtual healthcare assistants in the healthcare sector are also explored, along with potential future research areas for enhancing ChatGPT. This study provides important new insights into how virtual healthcare assistants might enhance patient care and offers recommendations for healthcare organizations and legislators on leveraging ChatGPT. It shows that the astonishing development in patient care, known as ChatGPT, has the potential to revolutionize the healthcare industry.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
生成式人工智能作为虚拟医疗助手提高患者护理质量
本研究探讨了聊天生成预训练转换器(ChatGPT)作为虚拟医疗助手在提高病人护理质量方面的潜力。医疗保健系统中病人护理不足是导致满意度降低和医疗失误的一个关键问题。以 ChatGPT 为代表的虚拟医疗助手已成为缓解这些挑战的一种有前途的解决方案。一篇全面的文献综述比较了使用虚拟医疗助理和人类医疗服务提供者的利弊,以评估其在加强患者护理方面的有效性。文章讨论了 ChatGPT 的开发过程,包括使用的数据源、培训和验证,以及将该技术整合到医疗保健系统中。文章提供了在病人护理中测试 ChatGPT 的结果,包括病人的反馈。研究对这些结果进行了解释,并指出 ChatGPT 可以显著提高病人护理水平。研究还探讨了在医疗保健领域实施虚拟医疗保健助理的意义,以及未来加强 ChatGPT 的潜在研究领域。这项研究为虚拟医疗助理如何加强病人护理提供了重要的新见解,并为医疗机构和立法者利用 ChatGPT 提供了建议。它表明,被称为 ChatGPT 的病人护理领域的惊人发展有可能彻底改变医疗保健行业。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
XAI-PhD: Fortifying Trust of Phishing URL Detection Empowered by Shapley Additive Explanations Improving the Accuracy of Oncology Diagnosis: A Machine Learning-Based Approach to Cancer Prediction Social Robots, Mindfulness, and Kindergarten Blockchain of Things for Securing and Managing Water 4.0 Applications Intelligent Interconnected Healthcare System: Integrating IoT and Big Data for Personalized Patient Care
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1