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通过医学认知虚拟代理提升医疗保健水平。

Enhancing health care through medical cognitive virtual agents.

作者信息

Mishra Sushruta, Chaudhury Pamela, Tripathy Hrudaya Kumar, Sahoo Kshira Sagar, Jhanjhi N Z, Hassan Elnour Asma Abbas, Abdelmaboud Abdelzahir

机构信息

School of Computer Engineering, Kalinga Institute of Industrial Technology, deemed to be University, Bhubaneswar, India.

Department of Computer Science and Engineering, Silicon Institute of Technology, Bhubaneswar, India.

出版信息

Digit Health. 2024 Aug 19;10:20552076241256732. doi: 10.1177/20552076241256732. eCollection 2024 Jan-Dec.

DOI:10.1177/20552076241256732
PMID:39165388
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11334247/
Abstract

OBJECTIVE

The modern era of cognitive intelligence in clinical space has led to the rise of 'Medical Cognitive Virtual Agents' (MCVAs) which are labeled as intelligent virtual assistants interacting with users in a context-sensitive and ambient manner. They aim to augment users' cognitive capabilities thereby helping both patients and medical experts in providing personalized healthcare like remote health tracking, emergency healthcare and robotic diagnosis of critical illness, among others. The objective of this study is to explore the technical aspects of MCVA and their relevance in modern healthcare.

METHODS

In this study, a comprehensive and interpretable analysis of MCVAs are presented and their impacts are discussed. A novel system framework prototype based on artificial intelligence for MCVA is presented. Architectural workflow of potential applications of functionalities of MCVAs are detailed. A novel MCVA relevance survey analysis was undertaken during March-April 2023 at Bhubaneswar, Odisha, India to understand the current position of MCVA in society.

RESULTS

Outcome of the survey delivered constructive results. Majority of people associated with healthcare showed their inclination towards MCVA. The curiosity for MCVA in Urban zone was more than in rural areas. Also, elderly citizens preferred using MCVA more as compared to youths. Medical decision support emerged as the most preferred application of MCVA.

CONCLUSION

The article established and validated the relevance of MCVA in modern healthcare. The study showed that MCVA is likely to grow in future and can prove to be an effective assistance to medical experts in coming days.

摘要

目的

临床领域认知智能的现代时代催生了“医学认知虚拟代理”（MCVA）的兴起，这些被标记为智能虚拟助手的代理以情境敏感和自然的方式与用户交互。它们旨在增强用户的认知能力，从而在提供个性化医疗保健方面帮助患者和医学专家，如远程健康跟踪、紧急医疗保健以及危重病的机器人诊断等。本研究的目的是探索MCVA的技术方面及其在现代医疗保健中的相关性。

方法

在本研究中，对MCVA进行了全面且可解释的分析，并讨论了它们的影响。提出了一种基于人工智能的MCVA新型系统框架原型。详细介绍了MCVA功能潜在应用的架构工作流程。2023年3月至4月在印度奥里萨邦布巴内斯瓦尔进行了一项新颖的MCVA相关性调查分析，以了解MCVA在社会中的当前地位。

结果

调查结果产生了建设性的成果。大多数与医疗保健相关的人表示倾向于MCVA。城市地区对MCVA的好奇心高于农村地区。此外，与年轻人相比，老年人更喜欢使用MCVA。医疗决策支持成为MCVA最受欢迎的应用。

结论

本文确立并验证了MCVA在现代医疗保健中的相关性。研究表明，MCVA未来可能会发展壮大，并在未来几天证明对医学专家是一种有效的辅助。

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