@Article{信息:doi 10.2196 / / jmir。3263，作者="Mart{\'i}n Ruiz, Mar{\'i}a Luisa and Valero Duboy, Miguel {\'a} gel and Torcal Loriente, Carmen and Pau de la Cruz, Iv{'a}n"，标题="基于web的语言障碍筛查临床决策支持系统评估"，期刊="J Med Internet Res"，年="2014"，月="5"，日="28"，卷="16"，数="5"，页数="e139"，关键词="初级卫生保健;卫生信息系统;知识管理;评估;早期诊断;电子健康;背景:早期和有效地识别儿童发育障碍仍然是国际社会的一项关键任务。儿童常见发育障碍中患病率第二高的是语言发育迟缓，这通常是一种可能障碍的首要症状。目的:本文评估了基于web的临床决策支持系统(CDSS)，其目的是加强幼儿园语言障碍的筛查。 The common lack of early diagnosis of language disorders led us to deploy an easy-to-use CDSS in order to evaluate its accuracy in early detection of language pathologies. This CDSS can be used by pediatricians to support the screening of language disorders in primary care. Methods: This paper details the evaluation results of the ``Gades'' CDSS at a nursery school with 146 children, 12 educators, and 1 language therapist. The methodology embraces two consecutive phases. The first stage involves the observation of each child's language abilities, carried out by the educators, to facilitate the evaluation of language acquisition level performed by a language therapist. Next, the same language therapist evaluates the reliability of the observed results. Results: The Gades CDSS was integrated to provide the language therapist with the required clinical information. The validation process showed a global 83.6{\%} (122/146) success rate in language evaluation and a 7{\%} (7/94) rate of non-accepted system decisions within the range of children from 0 to 3 years old. The system helped language therapists to identify new children with potential disorders who required further evaluation. This process will revalidate the CDSS output and allow the enhancement of early detection of language disorders in children. The system does need minor refinement, since the therapists disagreed with some questions from the CDSS knowledge base (KB) and suggested adding a few questions about speech production and pragmatic abilities. The refinement of the KB will address these issues and include the requested improvements, with the support of the experts who took part in the original KB development. Conclusions: This research demonstrated the benefit of a Web-based CDSS to monitor children's neurodevelopment via the early detection of language delays at a nursery school. Current next steps focus on the design of a model that includes pseudo auto-learning capacity, supervised by experts. ", issn="1438-8871", doi="10.2196/jmir.3263", url="//www.mybigtv.com/2014/5/e139/", url="https://doi.org/10.2196/jmir.3263", url="http://www.ncbi.nlm.nih.gov/pubmed/24870413" }