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本文引用的文献

1
To what extent do pediatricians accept computer-based dosing suggestions?儿科医生在多大程度上接受基于计算机的剂量建议?
Pediatrics. 2007 Jan;119(1):e69-75. doi: 10.1542/peds.2006-1388.
2
Customizing a commercial rule base for detecting drug-drug interactions.定制用于检测药物相互作用的商业规则库。
AMIA Annu Symp Proc. 2005;2005:1094.
3
Implementing renal impairment and geriatric decision support in ambulatory e-prescribing.在门诊电子处方中实施肾功能损害和老年患者决策支持。
AMIA Annu Symp Proc. 2005;2005:1071.
4
Drug-age alerting for outpatient geriatric prescriptions: a joint study using interoperable drug standards.门诊老年处方的药物-年龄警示:一项使用可互操作药物标准的联合研究。
AMIA Annu Symp Proc. 2005;2005:886.
5
Managing the alert process at NewYork-Presbyterian Hospital.管理纽约长老会医院的警报流程。
AMIA Annu Symp Proc. 2005;2005:415-9.
6
Using commercial knowledge bases for clinical decision support: opportunities, hurdles, and recommendations.利用商业知识库进行临床决策支持:机遇、障碍与建议。
J Am Med Inform Assoc. 2006 Jul-Aug;13(4):369-71. doi: 10.1197/jamia.M2055. Epub 2006 Apr 18.
7
Adherence to black box warnings for prescription medications in outpatients.门诊患者对处方药黑框警告的依从性。
Arch Intern Med. 2006 Feb 13;166(3):338-44. doi: 10.1001/archinte.166.3.338.
8
Overriding of drug safety alerts in computerized physician order entry.计算机化医生医嘱录入系统中药物安全警报的忽略
J Am Med Inform Assoc. 2006 Mar-Apr;13(2):138-47. doi: 10.1197/jamia.M1809. Epub 2005 Dec 15.
9
The anatomy of decision support during inpatient care provider order entry (CPOE): empirical observations from a decade of CPOE experience at Vanderbilt.住院护理人员医嘱录入(CPOE)过程中的决策支持剖析:来自范德比尔特十年CPOE经验的实证观察
J Biomed Inform. 2005 Dec;38(6):469-85. doi: 10.1016/j.jbi.2005.08.009. Epub 2005 Oct 21.
10
Improving acceptance of computerized prescribing alerts in ambulatory care.提高门诊医疗中对计算机化处方提醒的接受度。
J Am Med Inform Assoc. 2006 Jan-Feb;13(1):5-11. doi: 10.1197/jamia.M1868. Epub 2005 Oct 12.

计算机化医嘱录入系统中与药物治疗相关的临床决策支持:综述

Medication-related clinical decision support in computerized provider order entry systems: a review.

作者信息

Kuperman Gilad J, Bobb Anne, Payne Thomas H, Avery Anthony J, Gandhi Tejal K, Burns Gerard, Classen David C, Bates David W

机构信息

Quality Informatics, NewYork-Presbyterian Hospital, 525 E. 68 Street, Box 298, New York, NY 10021, USA.

出版信息

J Am Med Inform Assoc. 2007 Jan-Feb;14(1):29-40. doi: 10.1197/jamia.M2170. Epub 2006 Oct 26.

DOI:10.1197/jamia.M2170
PMID:17068355
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2215064/
Abstract

While medications can improve patients' health, the process of prescribing them is complex and error prone, and medication errors cause many preventable injuries. Computer provider order entry (CPOE) with clinical decision support (CDS), can improve patient safety and lower medication-related costs. To realize the medication-related benefits of CDS within CPOE, one must overcome significant challenges. Healthcare organizations implementing CPOE must understand what classes of CDS their CPOE systems can support, assure that clinical knowledge underlying their CDS systems is reasonable, and appropriately represent electronic patient data. These issues often influence to what extent an institution will succeed with its CPOE implementation and achieve its desired goals. Medication-related decision support is probably best introduced into healthcare organizations in two stages, basic and advanced. Basic decision support includes drug-allergy checking, basic dosing guidance, formulary decision support, duplicate therapy checking, and drug-drug interaction checking. Advanced decision support includes dosing support for renal insufficiency and geriatric patients, guidance for medication-related laboratory testing, drug-pregnancy checking, and drug-disease contraindication checking. In this paper, the authors outline some of the challenges associated with both basic and advanced decision support and discuss how those challenges might be addressed. The authors conclude with summary recommendations for delivering effective medication-related clinical decision support addressed to healthcare organizations, application and knowledge base vendors, policy makers, and researchers.

摘要

虽然药物可以改善患者的健康状况,但开药过程复杂且容易出错,用药错误会导致许多可预防的伤害。具有临床决策支持(CDS)的计算机医嘱录入系统(CPOE)可以提高患者安全性并降低与用药相关的成本。为了在CPOE中实现CDS与用药相关的益处,必须克服重大挑战。实施CPOE的医疗保健组织必须了解其CPOE系统能够支持哪些类型的CDS,确保其CDS系统所基于的临床知识合理,并适当地呈现电子患者数据。这些问题往往会影响一个机构在CPOE实施方面取得成功并实现其预期目标的程度。与用药相关的决策支持可能最好分两个阶段引入医疗保健组织,即基础阶段和高级阶段。基础决策支持包括药物过敏检查、基本剂量指导、处方集决策支持、重复治疗检查和药物相互作用检查。高级决策支持包括针对肾功能不全患者和老年患者的剂量支持、与用药相关的实验室检测指导、药物妊娠检查和药物疾病禁忌检查。在本文中,作者概述了与基础和高级决策支持相关的一些挑战,并讨论了如何应对这些挑战。作者最后针对医疗保健组织、应用程序和知识库供应商、政策制定者及研究人员提出了提供有效的与用药相关临床决策支持的总结性建议。