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Using medication list--problem list mismatches as markers of potential error.

机译:使用药物清单-问题清单不匹配是潜在错误的标志。

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摘要

The goal of this project was to specify and develop an algorithm that will check for drug and problem list mismatches in an electronic medical record (EMR). The algorithm is based on the premise that a patient's problem list and medication list should agree, and a mismatch may indicate medication error. Successful development of this algorithm could mean detection of some errors, such as medication orders entered into a wrong patient record, or drug therapy omissions, that are not otherwise detected via automated means. Additionally, mismatches may identify opportunities to improve problem list integrity. To assess the concept's feasibility, this study compared medications listed in a pharmacy information system with findings in an online nursing adult admission assessment, serving as a proxy for the problem list. Where drug and problem list mismatches were discovered, examination of the patient record confirmed the mismatch, and identified any potential causes. Evaluation of the algorithm in diabetes treatment indicates that it successfully detects both potential medication error and opportunities to improve problem list completeness. This algorithm, once fully developed and deployed, could prove a valuable way to improve the patient problem list, and could decrease the risk of medication error.
机译:该项目的目标是指定和开发一种算法,该算法将检查电子病历(EMR)中的药物和问题清单不匹配。该算法基于以下前提:患者的问题清单和药物清单应一致,并且不匹配可能表示药物错误。该算法的成功开发可能意味着检测到某些错误,例如通过错误的患者记录输入的用药顺序或药物治疗遗漏,而这些错误是无法通过自动化方式检测到的。此外,不匹配可能会发现改善问题列表完整性的机会。为了评估该概念的可行性,本研究将药房信息系统中列出的药物与在线护理成人入院评估中的发现进行了比较,以作为问题清单的替代。在发现药物和问题清单不匹配的地方,对患者记录的检查确认了不匹配,并确定了任何潜在原因。对糖尿病治疗中算法的评估表明,它可以成功检测到潜在的用药错误和改善问题清单完整性的机会。一旦完全开发和部署了该算法,就可以证明是改进患者问题清单的有价值的方法,并且可以降低用药错误的风险。

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