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本文引用的文献

1
Macroergonomics in Healthcare Quality and Patient Safety.医疗质量与患者安全中的宏观工效学
Rev Hum Factors Ergon. 2013 Sep 1;8(1):4-54. doi: 10.1177/1557234X13492976.
2
Comparing the information seeking strategies of residents, nurse practitioners, and physician assistants in critical care settings.比较重症监护环境中住院医师、护士从业者和医师助理的信息寻求策略。
J Am Med Inform Assoc. 2014 Oct;21(e2):e249-56. doi: 10.1136/amiajnl-2013-002615. Epub 2014 Mar 11.
3
Automation and adaptation: Nurses' problem-solving behavior following the implementation of bar coded medication administration technology.自动化与适应性:条形码给药技术实施后护士的问题解决行为
Cogn Technol Work. 2013 Aug 1;15(3):283-296. doi: 10.1007/s10111-012-0229-4.
4
Comparative evaluation of the content and structure of communication using two handoff tools: implications for patient safety.两种交接班工具在沟通内容和结构方面的比较评估:对患者安全的影响。
J Crit Care. 2014 Apr;29(2):311.e1-7. doi: 10.1016/j.jcrc.2013.11.014. Epub 2013 Nov 23.
5
Human factors systems approach to healthcare quality and patient safety.人因系统方法在医疗质量和患者安全中的应用。
Appl Ergon. 2014 Jan;45(1):14-25. doi: 10.1016/j.apergo.2013.04.023. Epub 2013 Jul 8.
6
Human factors and ergonomics as a patient safety practice.人为因素与工效学作为患者安全实践。
BMJ Qual Saf. 2014 Mar;23(3):196-205. doi: 10.1136/bmjqs-2013-001812. Epub 2013 Jun 28.
7
Spreading human factors expertise in healthcare: untangling the knots in people and systems.在医疗保健领域传播人为因素专业知识:解开人与系统中的症结。
BMJ Qual Saf. 2013 Oct;22(10):793-7. doi: 10.1136/bmjqs-2013-002036. Epub 2013 Apr 16.
8
The science of human factors: separating fact from fiction.人类因素科学:区分事实与虚构。
BMJ Qual Saf. 2013 Oct;22(10):802-8. doi: 10.1136/bmjqs-2012-001450. Epub 2013 Apr 16.
9
Adaptive behaviors of experts in following standard protocol in trauma management: implications for developing flexible guidelines.创伤管理中专家遵循标准协议的适应性行为:对制定灵活指南的启示
AMIA Annu Symp Proc. 2012;2012:1412-21. Epub 2012 Nov 3.
10
Understanding the nature of information seeking behavior in critical care: implications for the design of health information technology.理解重症监护环境下信息寻求行为的本质:对健康信息技术设计的启示。
Artif Intell Med. 2013 Jan;57(1):21-9. doi: 10.1016/j.artmed.2012.10.002. Epub 2012 Nov 26.

人为因素与健康信息技术:当前挑战与未来方向。

Human factors and health information technology: current challenges and future directions.

作者信息

Patel V L, Kannampallil T G

机构信息

Vimla L. Patel, Center for Cognitive Studies, in Medicine and Public Health, The New York Academy of Medicine, 1216 5th Avenue, New York, NY, E-mail:

出版信息

Yearb Med Inform. 2014 Aug 15;9(1):58-66. doi: 10.15265/IY-2014-0005.

DOI:10.15265/IY-2014-0005
PMID:25123724
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4287067/
Abstract

OBJECTIVES

Recent federal mandates and incentives have spurred the rapid growth, development and adoption of health information technology (HIT). While providing significant benefits for better data integration, organization, and availability, recent reports have raised questions regarding their potential to cause medication errors, decreased clinician performance, and lowered efficiency. The goal of this survey article is to (a) examine the theoretical and foundational models of human factors and ergonomics (HFE) that are being advocated for achieving patient safety and quality, and their use in the evaluation of healthcare systems; (b) and the potential for macroergonomic HFE approaches within the context of current research in biomedical informatics.

METHODS

We reviewed literature (2007-2013) on the use of HFE approaches in healthcare settings, from databases such as Pubmed, CINAHL, and Cochran.

RESULTS

Based on the review, we discuss the systems-oriented models, their use in the evaluation of HIT, and examples of their use in the evaluation of EHR systems, clinical workflow processes, and medication errors. We also discuss the opportunities for better integrating HFE methods within biomedical informatics research and its potential advantages.

CONCLUSIONS

The use of HFE methods is still in its infancy - better integration of HFE within the design lifecycle, and quality improvement efforts can further the ability of informatics researchers to address the key concerns regarding the complexity in clinical settings and develop HIT solutions that are designed within the social fabric of the considered setting.

摘要

目的

近期的联邦指令和激励措施推动了健康信息技术(HIT)的快速增长、发展和应用。虽然HIT在改善数据整合、组织和可用性方面带来了显著益处,但近期的报告对其可能导致用药错误、降低临床医生绩效和效率提出了质疑。这篇综述文章的目的是:(a)研究为实现患者安全和质量而倡导的人因工程学(HFE)的理论和基础模型,以及它们在医疗系统评估中的应用;(b)探讨在生物医学信息学当前研究背景下宏观人因工程学HFE方法的潜力。

方法

我们检索了2007年至2013年期间发表在PubMed、CINAHL和Cochran等数据库中关于HFE方法在医疗环境中应用的文献。

结果

基于该综述,我们讨论了面向系统的模型、它们在HIT评估中的应用,以及它们在电子健康记录(EHR)系统、临床工作流程和用药错误评估中的应用实例。我们还讨论了在生物医学信息学研究中更好地整合HFE方法的机会及其潜在优势。

结论

HFE方法的应用仍处于起步阶段——在设计生命周期中更好地整合HFE以及质量改进工作,可以进一步提高信息学研究人员解决临床环境复杂性关键问题的能力,并开发出在特定社会环境中设计的HIT解决方案。