Autoverification or automated verification of clinical laboratory test results means to use a computer system to implement the established criteria and logic for clinical laboratory practice to release the test results to medical records automatically. In nowadays Taiwan, most clinical laboratory departments of hospitals have developed their laboratory information systems (LISs), and established two-way communications between the LISs and analytical instruments. It has largely enhanced the analysis capability and speeded up test result productivity. However, the speed of release of the test results has not followed the speed of improvement in LISs because the release of test results still relies on medical technologist manually, which is time consuming and needs lots of effort. Moreover, the clinical laboratory departments face the problems of spending cut-down, shrinking of medical laboratory manpower, and increasing the test volume. Hence, autoverification would be a good choice to speed up the release of test results, and lower the percentage of mistake of the released results. This paper presents methodologies to establish criteria and parameters for auto-verification of test results with numerical type for a clinical laboratory by using the historical patient population patterns and standards of quality management of the laboratory. The criteria and parameters include autovalidation range, delta check range, the baselines of delta difference check, Delta absolute value and the high and low coefficients of delta percent change. In this paper, we present examples, and use Excel(superscript TM) as a tool to demonstrate the establishment of criteria and parameters for autoverification of Sodium (Na(superscript +)) test results. In our approach, we consider not only the patient population characteristics but also the standards of quality management of a laboratory to establish autoverification criteria and parameters for a test item. Therefore, the established autoverification criteria and parameters should be easy to understand, and this can encourage the laboratory managers to implement autoverification online in release of test results.
|Number of pages||14|
|Journal||The Journal of Taiwan Association for Medical Informatics|
|Publication status||Published - 2008|