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1
What factors determine the success of clinical decision support systems?哪些因素决定了临床决策支持系统的成功?
AMIA Annu Symp Proc. 2003;2003:862.
2
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3
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Adoption of clinical decision support systems in a developing country: Antecedents and outcomes of physician's threat to perceived professional autonomy.发展中国家临床决策支持系统的采用:医生对感知到的职业自主性受到威胁的前因及后果
Int J Med Inform. 2015 Aug;84(8):548-60. doi: 10.1016/j.ijmedinf.2015.03.007. Epub 2015 Apr 8.
5
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6
What may help or hinder the implementation of computerized decision support systems (CDSSs): a focus group study with physicians.哪些因素可能有助于或阻碍计算机化决策支持系统(CDSSs)的实施:一项针对医生的焦点小组研究
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引用本文的文献

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Clinician acceptability of an antibiotic prescribing knowledge support system for primary care: a mixed-method evaluation of features and context.临床医生对初级保健抗生素处方知识支持系统的接受度:对功能和背景的混合方法评估。
BMC Health Serv Res. 2023 Apr 14;23(1):367. doi: 10.1186/s12913-023-09239-4.
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Clinical Decision Support Systems in Breast Cancer: A Systematic Review.乳腺癌临床决策支持系统:一项系统综述。
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3
Imaging, Health Record, and Artificial Intelligence: Hype or Hope?影像、健康记录与人工智能:炒作还是希望?
Curr Cardiol Rep. 2018 May 10;20(6):48. doi: 10.1007/s11886-018-0990-y.
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Description and pilot evaluation of the Metabolic Irregularities Narrowing down Device software: a case analysis of physician programming.代谢异常缩小装置软件的描述与初步评估:医师编程的案例分析
J Community Hosp Intern Med Perspect. 2015 Feb 3;5(1):25793. doi: 10.3402/jchimp.v5.25793. eCollection 2015.
5
The role of nursing informatics on promoting quality of health care and the need for appropriate education.护理信息学在提升医疗保健质量方面的作用以及对适当教育的需求。
Glob J Health Sci. 2014 Jun 25;6(6):11-8. doi: 10.5539/gjhs.v6n6p11.
6
Translation of personalized decision support into routine diabetes care.将个性化决策支持转化为常规糖尿病护理。
J Diabetes Sci Technol. 2010 Nov 1;4(6):1532-9. doi: 10.1177/193229681000400631.
7
Features predicting the success of computerized decision support for prescribing: a systematic review of randomized controlled trials.预测计算机化决策支持系统在处方开具方面成功的特征:随机对照试验的系统评价
BMC Med Inform Decis Mak. 2009 Feb 11;9:11. doi: 10.1186/1472-6947-9-11.

哪些因素决定了临床决策支持系统的成功?

What factors determine the success of clinical decision support systems?

作者信息

Holbrook Anne, Xu Sophia, Banting Jessica

机构信息

Centre for Evaluation of Medicines and Division of Clinical Pharmacology, McMaster University.

出版信息

AMIA Annu Symp Proc. 2003;2003:862.

PMID:14728367
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1480133/
Abstract

Computerized decision support systems (CDSS) which improve the quality of patient care are strong and necessary incentives for clinicians to use electronic medical records. We have noted previously that the logical path of CDSS design, which would be to determine the factors that predict success before the system is designed, appears rarely to have been followed. In this overview update of the literature on predictors of successful CDSS, we conclude that the predictors have not been adequately identified and the success of CDSS may improve when they are.

摘要

能够提高患者护理质量的计算机化决策支持系统(CDSS)是促使临床医生使用电子病历的强大且必要的诱因。我们之前已经指出,CDSS设计的合理路径,即在系统设计前确定预测成功的因素,似乎很少被遵循。在本次关于CDSS成功预测因素的文献综述更新中,我们得出结论,这些预测因素尚未得到充分识别,若能充分识别,CDSS的成功率可能会提高。