Komoda Denis Satoshi, Cardoso Marilia Mastrocolla de Almeida, Fernandes Brígida Dias, Visacri Marília Berlofa, Correa Carlos Roberto Silveira
Department of Collective Health, Faculty of Medical Sciences, University of Campinas, Campinas, SP, Brazil.
Brazilian Centre for Evidence-based Healthcare: A JBI Centre of Excellence, São Paulo, SP, Brazil.
JBI Evid Synth. 2024 Dec 1;22(12):2559-2566. doi: 10.11124/JBIES-23-00377.
This scoping review aims to map studies that applied artificial intelligence (AI) tools to perform health technology assessment tasks in human health care. The review also aims to understand specific processes in which the AI tools were applied and to comprehend the technical characteristics of these tools.
Health technology assessment is a complex, time-consuming, and labor-intensive endeavor. The development of automation techniques using AI has opened up new avenues for accelerating such assessments in human health settings. This could potentially aid health technology assessment researchers and decision-makers to deliver higher quality evidence.
This review will consider studies that assess the use of AI tools in any process of health technology assessment in human health. However, publications in which AI is a means of clinical aid, such as diagnostics or surgery will be excluded.
A search for relevant articles will be conducted in databases such as CINAHL (EBSCOhost), Embase (Ovid), MEDLINE (PubMed), Science Direct, Computer and Applied Sciences Complete (EBSCOhost), LILACS, Scopus, and Web of Science Core Collection. A search for gray literature will be conducted in GreyLit.Org, ProQuest Dissertations and Theses, Google Scholar, and the Google search engine. No language filters will be applied. Screening, selection, and data extraction will be performed by 2 independent reviewers. The results will be presented in graphic and tabular format, accompanied by a narrative summary.
Open Science Framework osf.io/3rm8g.
本范围综述旨在梳理将人工智能（AI）工具应用于人类医疗保健中卫生技术评估任务的研究。该综述还旨在了解应用AI工具的具体过程，并理解这些工具的技术特征。
卫生技术评估是一项复杂、耗时且 labor-intensive 的工作。利用AI开发自动化技术为在人类健康环境中加速此类评估开辟了新途径。这可能有助于卫生技术评估研究人员和决策者提供更高质量的证据。
本综述将考虑评估AI工具在人类健康卫生技术评估任何过程中使用情况的研究。然而，将排除其中AI作为临床辅助手段（如诊断或手术）的出版物。
将在CINAHL（EBSCOhost）、Embase（Ovid）、MEDLINE（PubMed）、Science Direct、计算机与应用科学全文数据库（EBSCOhost）、拉丁美洲及加勒比地区卫生科学数据库（LILACS）、Scopus和科学引文索引核心合集等数据库中搜索相关文章。将在GreyLit.Org、ProQuest学位论文数据库、谷歌学术和谷歌搜索引擎中搜索灰色文献。不应用语言过滤器。筛选、选择和数据提取将由两名独立评审员进行。结果将以图表形式呈现，并伴有叙述性总结。
开放科学框架osf.io/3rm8g。
