Suppr超能文献

将信息安全扎根于医疗保健中。

Grounding information security in healthcare.

机构信息

Computing Laboratory, University of Kent, CT2 7NF Canterbury, Kent, UK.

出版信息

Int J Med Inform. 2010 Apr;79(4):268-83. doi: 10.1016/j.ijmedinf.2010.01.009. Epub 2010 Feb 11.

Abstract

PURPOSE

The objective of this paper is to show that grounded theory (GT), together with mixed methods, can be used to involve healthcare professionals in the design and enhancement of access control policies to Electronic Medical Record (EMR) systems.

METHODS

The mixed methods applied for this research included, in this sequence, focus groups (main qualitative method that used grounded theory for the data analysis) and structured questionnaires (secondary quantitative method).

RESULTS

Results showed that the presented methodology can be used to involve healthcare professionals in the definition of access control policies to EMR systems and explore these issues in a diversified and integrated way. The methodology allowed for the generation of great amounts of data in the beginning of the study and in a short time span. Results from the applied methodology revealed a first glimpse of the theories to be generated and integrated, with future research, into access control policies.

CONCLUSIONS

The methodological research described in this paper is very rarely, if ever, applied in developing security tools such as access control. Nevertheless, it can be an effective way of involving healthcare professionals in the definition and enhancement of access control policies and in making information security more grounded into their workflows and daily practices.

摘要

目的

本文旨在展示扎根理论(GT)与混合方法相结合,可用于让医疗保健专业人员参与电子病历(EMR)系统访问控制策略的设计和增强。

方法

本研究应用的混合方法包括,按此顺序进行的焦点小组(主要定性方法,用于数据分析的扎根理论)和结构化问卷(次要定量方法)。

结果

结果表明,所提出的方法可用于让医疗保健专业人员参与定义 EMR 系统的访问控制策略,并以多样化和综合的方式探讨这些问题。该方法允许在研究初期和短时间内生成大量数据。所应用的方法的结果揭示了要生成和整合的理论的初步见解,并将其与未来的研究相结合,形成访问控制策略。

结论

本文所描述的方法学研究在开发访问控制等安全工具方面很少应用,如果有的话。然而,它可以是一种有效的方法,让医疗保健专业人员参与定义和增强访问控制策略,并使信息安全更深入地融入他们的工作流程和日常实践中。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验