对话代理（虚拟助手）在医疗保健中的有效性：系统评价方案
Effectiveness of Conversational Agents (Virtual Assistants) in Health Care: Protocol for a Systematic Review.
作者信息
de Cock Caroline, Milne-Ives Madison, van Velthoven Michelle Helena, Alturkistani Abrar, Lam Ching, Meinert Edward
机构信息
Digitally Enabled Preventative Health Research Group, Department of Paediatrics, University of Oxford, Oxford, United Kingdom.
Department of Primary Care and Public Health, Imperial College London, London, United Kingdom.
出版信息
JMIR Res Protoc. 2020 Mar 9;9(3):e16934. doi: 10.2196/16934.
BACKGROUND
Conversational agents (also known as chatbots) have evolved in recent decades to become multimodal, multifunctional platforms with potential to automate a diverse range of health-related activities supporting the general public, patients, and physicians. Multiple studies have reported the development of these agents, and recent systematic reviews have described the scope of use of conversational agents in health care. However, there is scarce research on the effectiveness of these systems; thus, their viability and applicability are unclear.
OBJECTIVE
The objective of this systematic review is to assess the effectiveness of conversational agents in health care and to identify limitations, adverse events, and areas for future investigation of these agents.
METHODS
The Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols will be used to structure this protocol. The focus of the systematic review is guided by a population, intervention, comparator, and outcome framework. A systematic search of the PubMed (Medline), EMBASE, CINAHL, and Web of Science databases will be conducted. Two authors will independently screen the titles and abstracts of the identified references and select studies according to the eligibility criteria. Any discrepancies will then be discussed and resolved. Two reviewers will independently extract and validate data from the included studies into a standardized form and conduct quality appraisal.
RESULTS
As of January 2020, we have begun a preliminary literature search and piloting of the study selection process.
CONCLUSIONS
This systematic review aims to clarify the effectiveness, limitations, and future applications of conversational agents in health care. Our findings may be useful to inform the future development of conversational agents and promote the personalization of patient care.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/16934.
背景
近几十年来，对话代理（也称为聊天机器人）已发展成为多模态、多功能平台，有潜力实现一系列支持公众、患者和医生的与健康相关活动的自动化。多项研究报告了这些代理的开发情况，最近的系统评价也描述了对话代理在医疗保健中的使用范围。然而，关于这些系统有效性的研究却很少；因此，它们的可行性和适用性尚不清楚。
目的
本系统评价的目的是评估对话代理在医疗保健中的有效性，并确定这些代理的局限性、不良事件以及未来的研究方向。
方法
将使用系统评价和Meta分析方案的首选报告项目来构建本方案。系统评价的重点由人群、干预措施、对照和结局框架指导。将对PubMed（Medline）、EMBASE、CINAHL和Web of Science数据库进行系统检索。两位作者将独立筛选已识别参考文献的标题和摘要，并根据纳入标准选择研究。然后将讨论并解决任何差异。两位评审员将独立从纳入研究中提取数据并验证为标准化形式，并进行质量评估。
结果
截至2020年1月，我们已开始初步文献检索并对研究选择过程进行试点。
结论
本系统评价旨在阐明对话代理在医疗保健中的有效性、局限性和未来应用。我们的研究结果可能有助于为对话代理的未来发展提供信息，并促进患者护理的个性化。
国际注册报告识别号（IRRID）：PRR1-10.2196/16934。
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