Borycki E M, Kushniruk A W, Bellwood P, Brender J
School of Health Information Science, University of Victoria, P. O. Box 3050 STN CSC, Victoria, British Columbia, V8W 3P5, Canada.
Methods Inf Med. 2012;51(2):95-103. doi: 10.3414/ME11-02-0009. Epub 2011 Nov 21.
The objective of this paper is to examine the extent, range and scope to which frameworks, models and theories dealing with technology-induced error have arisen in the biomedical and life sciences literature as indexed by Medline®.
To better understand the state of work in the area of technology-induced error involving frameworks, models and theories, the authors conducted a search of Medline® using selected key words identified from seminal articles in this research area. Articles were reviewed and those pertaining to frameworks, models or theories dealing with technology-induced error were further reviewed by two researchers.
All articles from Medline® from its inception to April of 2011 were searched using the above outlined strategy. 239 citations were returned. Each of the abstracts for the 239 citations were reviewed by two researchers. Eleven articles met the criteria based on abstract review. These 11 articles were downloaded for further in-depth review. The majority of the articles obtained describe frameworks and models with reference to theories developed in other literatures outside of healthcare. The papers were grouped into several areas. It was found that articles drew mainly from three literatures: 1) the human factors literature (including human-computer interaction and cognition), 2) the organizational behavior/sociotechnical literature, and 3) the software engineering literature.
A variety of frameworks and models were found in the biomedical and life sciences literatures. These frameworks and models drew upon and extended frameworks, models and theoretical perspectives that have emerged in other literatures. These frameworks and models are informing an emerging line of research in health and biomedical informatics involving technology-induced errors in healthcare.
本文旨在研究由《医学索引》（Medline®）索引的生物医学和生命科学文献中，涉及技术引发错误的框架、模型和理论的出现程度、范围和领域。
为了更好地了解技术引发错误领域中涉及框架、模型和理论的研究状况，作者使用从该研究领域的开创性文章中确定的选定关键词，对《医学索引》进行了检索。对文章进行了审查，两名研究人员进一步审查了与处理技术引发错误的框架、模型或理论相关的文章。
采用上述策略检索了从《医学索引》创刊到2011年4月的所有文章。共返回239条引用。两名研究人员对这239条引用的每一篇摘要进行了审查。基于摘要审查，有11篇文章符合标准。下载了这11篇文章进行进一步深入审查。获得的大多数文章描述了参照医疗保健领域以外其他文献中发展的理论的框架和模型。这些论文被分为几个领域。发现文章主要来自三类文献：1）人因学文献（包括人机交互和认知），2）组织行为/社会技术文献，3）软件工程文献。
在生物医学和生命科学文献中发现了各种框架和模型。这些框架和模型借鉴并扩展了其他文献中出现的框架、模型和理论观点。这些框架和模型为健康和生物医学信息学中涉及医疗保健中技术引发错误的新兴研究领域提供了信息。
