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Using Business Intelligence Tools to Support Medical Validation of Laboratory Tests

机译:使用商业智能工具支持实验室测试的医学验证

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Modem clinical laboratories have to confirm that the procedures used for specific tests are reliable and valid. There are several sources of errors and interferences that can invalidate the results. Medical validation refers to the plausibility check of the test results. Implausible results indicate that something might went wrong with a sample retrieved from the patient, e.g., the blood sample got contaminated with another fluid, which requires re-examination. Here, we describe how an integrated R-based business intelligence (BI) tool can be developed that increase the efficiency of the medical validation at the Institute of Clinical Chemistry (ICC) of the University Hospital Zurich. A BI software environment allowed us to digitalize steps in the validation process that were manually done in Excel worksheets, e.g., importing the data, calculating percentiles, and producing graphical outputs.
机译:调制解调器临床实验室必须确认用于特定测试的程序是可靠和有效的。 有几个错误和干扰来源可以使结果无效。 医学验证是指测试结果的合理性检查。 难以置信的结果表明,从患者检出的样品可能出现问题,例如,血液样品被另一种液体污染,需要重新检查。 在这里,我们描述了如何制定基于集成的基于R基的商业智能(BI)工具,从而提高苏黎世大学院校临床化学研究所(ICC)的医学验证效率。 BI软件环境允许我们在Excel工作表中手动完成的验证过程中的数字化步骤,例如,导入数据,计算百分位数和产生图形输出。

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