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用于β地中海贫血患者交互式管理的智能聊天机器人。

A Smart Chatbot for Interactive Management in Beta Thalassemia Patients.

作者信息

Alturaiki Alma Mohammed, Banjar Haneen Reda, Barefah Ahmed Salleh, Alnajjar Salwa Abdulrahman, Hindawi Salwa

机构信息

King Abdulaziz and His Companions Foundation for Giftedness and Creativity (Mawhiba), Saudi Arabia.

Computer Science Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia.

出版信息

Int J Telemed Appl. 2022 May 11;2022:9734518. doi: 10.1155/2022/9734518. eCollection 2022.

DOI:10.1155/2022/9734518
PMID:35601050
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9117039/
Abstract

BACKGROUND

-thalassemia is an inherited blood disorder that affects the production of hemoglobin molecules owing to the reduction or absence of beta chains. Transfusion therapy has had a key role in extending the lifespan of -thalassemia patients. This life-saving therapy is linked to numerous assessments and complications that now comprise most thalassemia management considerations. Consequently, many patients do not receive adequate information about the required assessments, as indicated by evidence-based medical guidelines. Patients with -thalassemia may benefit from chatbots that follow up on their condition and that provide the required assessment information. Self-management will hopefully have a positive impact on health outcomes.

OBJECTIVES

This study aims to develop a chatbot that can assist in the management of -thalassemia by providing the assessment information required to monitor patients' statuses.

METHODS

The chatbot operated as a messaging system. A question/answer system was created based on knowledge pertaining to -thalassemia assembled from experts, medical guidelines, and articles. Recommendations regarding the patient's follow-up assessment are made based on the answers.

RESULTS

A prototype was implemented to demonstrate how the chatbots could dynamically and flexibly provide the assessment information required to follow up on and monitor patients. A small sample of adults with -thalassemia used the chatbot to examine the system's usability and perceived utility. A system usability scale and utility scale were implemented to complete a post-test survey. The chatbots were considered by 34 patients, of whom the majority (72%) found them easy to use, while more than 90% of patients considered their use beneficial. Most of the participants agreed that the chatbots could improve their knowledge about their -thalassemia assessments.

CONCLUSION

Our findings suggest that chatbots can be beneficial to the development of recommended tests and management related to the assessment of -thalassemia.

摘要

背景

β地中海贫血是一种遗传性血液疾病,由于β链减少或缺失,影响血红蛋白分子的产生。输血治疗在延长β地中海贫血患者寿命方面发挥了关键作用。这种挽救生命的治疗与众多评估和并发症相关,这些评估和并发症现在构成了大多数地中海贫血管理的考虑因素。因此,正如循证医学指南所示,许多患者没有得到关于所需评估的充分信息。β地中海贫血患者可能会从能够跟踪其病情并提供所需评估信息的聊天机器人中受益。自我管理有望对健康结果产生积极影响。

目的

本研究旨在开发一种聊天机器人,通过提供监测患者状况所需的评估信息来协助β地中海贫血的管理。

方法

聊天机器人作为一个消息系统运行。基于从专家、医学指南和文章中收集的有关β地中海贫血的知识创建了一个问答系统。根据答案给出关于患者后续评估的建议。

结果

实现了一个原型,以展示聊天机器人如何动态灵活地提供跟踪和监测患者所需的评估信息。一小部分成年β地中海贫血患者使用聊天机器人来检验系统的可用性和感知效用。实施了系统可用性量表和效用量表来完成测试后调查。34名患者使用了聊天机器人,其中大多数(72%)认为它们易于使用,而超过90%的患者认为使用它们有益。大多数参与者同意聊天机器人可以提高他们对β地中海贫血评估的了解。

结论

我们的研究结果表明,聊天机器人有助于制定与β地中海贫血评估相关的推荐检测和管理方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/794b/9117039/b02c14e9eff3/IJTA2022-9734518.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/794b/9117039/9b1e8fe71e70/IJTA2022-9734518.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/794b/9117039/081bbaa69dc5/IJTA2022-9734518.002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/794b/9117039/b02c14e9eff3/IJTA2022-9734518.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/794b/9117039/9b1e8fe71e70/IJTA2022-9734518.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/794b/9117039/081bbaa69dc5/IJTA2022-9734518.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/794b/9117039/9b30bb367cef/IJTA2022-9734518.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/794b/9117039/3b5bf040f6dd/IJTA2022-9734518.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/794b/9117039/13422acb2eee/IJTA2022-9734518.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/794b/9117039/fcf48a0c245d/IJTA2022-9734518.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/794b/9117039/b02c14e9eff3/IJTA2022-9734518.007.jpg

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1
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Health Informatics J. 2021 Jan-Mar;27(1):1460458221989397. doi: 10.1177/1460458221989397.
2
Utilization of Self-Diagnosis Health Chatbots in Real-World Settings: Case Study.自我诊断健康聊天机器人在真实环境中的应用:案例研究。
J Med Internet Res. 2021 Jan 6;23(1):e19928. doi: 10.2196/19928.
3
Technical Aspects of Developing Chatbots for Medical Applications: Scoping Review.开发医疗应用聊天机器人的技术方面:范围综述。
医疗保健中聊天机器人的角色、用户、益处和局限性:快速综述。
J Med Internet Res. 2024 Jul 23;26:e56930. doi: 10.2196/56930.
4
Evaluating the Potential and Pitfalls of AI-Powered Conversational Agents as Humanlike Virtual Health Carers in the Remote Management of Noncommunicable Diseases: Scoping Review.评估人工智能驱动的会话代理作为非传染性疾病远程管理中类人虚拟健康护理员的潜力和陷阱:范围综述。
J Med Internet Res. 2024 Jul 16;26:e56114. doi: 10.2196/56114.
5
Overview of Chatbots with special emphasis on artificial intelligence-enabled ChatGPT in medical science.聊天机器人概述,特别强调医学领域中基于人工智能的ChatGPT
Front Artif Intell. 2023 Oct 31;6:1237704. doi: 10.3389/frai.2023.1237704. eCollection 2023.
6
Predicting Thalassemia Using Feature Selection Techniques: A Comparative Analysis.使用特征选择技术预测地中海贫血:一项比较分析。
Diagnostics (Basel). 2023 Nov 14;13(22):3441. doi: 10.3390/diagnostics13223441.
J Med Internet Res. 2020 Dec 18;22(12):e19127. doi: 10.2196/19127.
4
Physicians' Perceptions of Chatbots in Health Care: Cross-Sectional Web-Based Survey.医生对医疗保健中聊天机器人的认知:基于网络的横断面调查。
J Med Internet Res. 2019 Apr 5;21(4):e12887. doi: 10.2196/12887.
5
Rule-based modeling of chronic disease epidemiology: elderly depression as an illustration.基于规则的慢性病流行病学建模:以老年抑郁症为例。
PLoS One. 2012;7(8):e41452. doi: 10.1371/journal.pone.0041452. Epub 2012 Aug 28.