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Overcoming Limitations of Data Entry for the Semi-Automated Detection of Drug Orphans in the EMR

机译:克服EMR中半自动检测药物孤儿的数据输入限制

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摘要

Sophisticated decision support systems (DSS) can reduce preventable medical errors. A standalone DSS prototype was built to identify drug-disease mismatches in the electronic medical record (EMR). When drugs fail to match a known problem on the problem list (drug orphans), either the problem list is deficient or the drug was ordered in error. We tested the performance of an integrated DSS prototype by improving the data exchange with the standalone DSS prototype. By implementing a screen capture tool, we were able to accelerate data entry into the DSS prototype through the semi-automated operation. Preliminary results revealed a marked increase in the rate of data entry during testing the DSS prototype. The accelerated data entry streamlines workflow and promotes physician’s acceptance of the DSS.
机译:先进的决策支持系统(DSS)可以减少可预防的医疗错误。建立了一个独立的DSS原型,以识别电子病历(EMR)中的药物-疾病不匹配。如果毒品未能与问题清单(毒品孤儿)上的已知问题相符,则问题清单不足或错误订购毒品。我们通过改进与独立DSS原型的数据交换来测试集成DSS原型的性能。通过实现一个屏幕捕获工具,我们能够通过半自动化操作来加快数据输入DSS原型的速度。初步结果显示,在测试DSS原型期间,数据输入速率显着提高。加速的数据输入简化了工作流程,并促进了医生对DSS的接受。

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