Data Collection of Medication -Impact of Autocompletion in eCRFs on Efficiency and Data Quality

机译：ECRF效率和数据质量中自动完成的药物收集

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Objective: Openclinica Input Completion (OIC) was developed to increase the efficiency to enter drugs in eCRF in OpenClinica?. The aim of the study was to evaluate the impact on efficiency and data quality as well as usability. Methods: 20 participants were asked to input 15 drugs with the new tool and by hand. Results: The mean input time got decreased from 16:12m to 3:59m. 31 of 300 (10%) of manual entered medication data sets had one or more errors versus 10 of 300 (3,3%) data sets entered with OIC. Conclusion: OIC was able to increase efficiency and data quahty. We conclude that new additions to the graphical user interface in electronical Case-Report-Form (eCRF) systems should be validated before usage in research projects.

机译：目的：开发了OpenClinica输入完成（OIC），以提高OpenClinica中ECRF在ECRF中进入药物的效率。该研究的目的是评估对效率和数据质量以及可用性的影响。方法：要求20名参与者用新工具和手工输入15种药物。结果：平均输入时间从16:12达到3：59m下降。 31种31个（10％）的手动输入的药物数据集具有一个或多个误差，而10的误差为100/300（3,3％）数据集。结论：OIC能够提高效率和数据琶金。我们得出结论，在研究项目中使用前应验证到电子案例报告表格（ECRF）系统中的图形用户界面的新增功能。

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《German Association of Medical Informatics, Biometry and Epidemiology., Annual Meeting》|2017年|xiv 230 p.|共1页
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Tolga P. NAZIYOK; Corinna FEEKEN; Atinkut A. ZELEKE; Michael DORKS; Rainer ROHRIG;
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Data Collection of Medication -Impact of Autocompletion in eCRFs on Efficiency and Data Quality

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