Paek Hyung M, Brandt Cynthia
Yale Center for Medical Informatics, New Haven, CT, USA.
AMIA Annu Symp Proc. 2005;2005:1070.
We will present an application for tracking research samples that has been designed based upon prior research in cognitive theories on error that has been applied successfully to fields such as aviation and anesthesiology. By anticipating where the errors are likely to occur in the human-computer interaction and workflow, we hope to reduce number of errors and minimize the effects of inevitable errors.
我们将展示一个用于追踪研究样本的应用程序，该程序是基于先前在认知错误理论方面的研究设计的，这些理论已成功应用于航空和麻醉学等领域。通过预测人机交互和工作流程中可能出现错误的位置，我们希望减少错误数量，并将不可避免的错误的影响降至最低。
