Marcolino Milena Soriano, Oliveira Lucca Fagundes Ramos, Valle Lucas Rocha, Rosa Luiza Marinho Motta Santa, Reis Zilma Silveira Nogueira, Soares Thiago Barbabela de Castro, Bernardino Elidéa Lúcia Almeida, Cordeiro Raniere Alislan Almeida, Prates Raquel Oliveira, Campos Mario Fernando Montenegro
Universidade Federal de Minas Gerais, Medical School, Belo Horizonte, Brazil.
Telehealth Center, University Hospital of Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
JMIR Res Protoc. 2025 Jan 23;14:e55427. doi: 10.2196/55427.
Individuals with hearing impairments may face hindrances in health care assistance, which may significantly impact the prognosis and the incidence of complications and iatrogenic events. Therefore, the development of automatic communication systems to assist the interaction between this population and health care workers is paramount.
This study aims to systematically review the evidence on communication systems using human-computer interaction techniques developed for deaf people who communicate through sign language that are already in use or proposed for use in health care contexts and have been tested with human users or videos of human users.
A systematic review will be performed based on a literature search in MEDLINE, Web of Science, ACM, and IEEE Xplore as well as top-tiered conferences in the area to identify relevant studies. The inclusion criteria are the description of the development of a sign language recognition system in a health care context and the testing with human users. Independent investigators (LFRO, LRV, and LMMSR) will screen eligible studies, and disagreements will be solved by a senior researcher (MSM). The included papers will undergo full-text screening. A PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) flow diagram will be presented to visually summarize the screening process, ensuring clarity and transparency in presenting the results. Additionally, a comprehensive chart table will be constructed to consolidate essential data related to the key variables extracted from the studies. These results will be meticulously analyzed and presented descriptively, offering insightful interpretations of the information encapsulated within the table.
A preliminary search was performed in April 2024. Researchers concluded the study selection by July 2024. Data extraction, synthesis, report, and recommendations are expected to be finished by February 2025.
This systematic review will identify human-machine systems that enable communication in health services involving deaf patients, presenting the framework that includes usability and application in human contexts. We will present a comprehensive panel of findings, highlighting systems used to tackle communication barriers and offer a narrative comparison of current implementation practices.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/55427.
听力障碍患者在获得医疗保健服务时可能会面临阻碍，这可能会对预后以及并发症和医源性事件的发生率产生重大影响。因此，开发自动通信系统以协助这一人群与医护人员之间的互动至关重要。
本研究旨在系统回顾有关通信系统的证据，这些系统使用为通过手语进行交流的聋人开发的人机交互技术，已在医疗保健环境中使用或拟在其中使用，并已通过人类用户或人类用户视频进行测试。
将基于在MEDLINE、科学网、美国计算机协会（ACM）和电气与电子工程师协会（IEEE）Xplore以及该领域顶级会议上进行的文献检索来进行系统回顾，以识别相关研究。纳入标准是在医疗保健环境中对手语识别系统开发的描述以及对人类用户进行的测试。独立研究人员（LFRO、LRV和LMMSR）将筛选符合条件的研究，分歧将由一位资深研究人员（MSM）解决。纳入论文将进行全文筛选。将呈现一份PRISMA（系统评价和Meta分析的首选报告项目）流程图，以直观地总结筛选过程，确保结果呈现的清晰性和透明度。此外，将构建一个综合图表来整合与从研究中提取的关键变量相关的基本数据。这些结果将经过精心分析并以描述性方式呈现，对表格中包含的信息提供有见地的解读。
2024年4月进行了初步检索。研究人员于2024年7月完成了研究选择。数据提取、综合、报告和建议预计将于2025年2月完成。
本系统评价将识别能够在涉及聋人患者的医疗服务中实现通信的人机系统，呈现包括可用性和在人类环境中的应用的框架。我们将展示一个全面的研究结果面板，突出用于解决通信障碍的系统，并对当前的实施实践进行叙述性比较。
国际注册报告识别号（IRRID）：PRR1-10.2196/55427。
