Tıbbi Laboratuvarlarda Kalite Maliyet Ölçütlerinin İyileştirilmesi Üzerine Bir Araştırma

Abstract

Health care quality is significantly rising interest in many health fields in recent years. Value provided by any health care resources as determined by some measurements. Such as, laboratories, medical diagnosis like therapy counts, image diagnosis, medication and intensive care units. Laboratory quality approach is considerable valued one of them that health fields. Quality management system is crucial to laboratory for providing the correct results every time. Because, many improved steps according to results comes from that laboratory. These results may directly affect the process outcomes. When a diagnostic test is performed in the medical laboratory, the outcome of the test is a result. The result may be a patient result or it may be a quality control (QC) result. The result may be quantitative (a number) or qualitative (positive or negative) or semi-quantitative (limited to a few different values). QC results are used to validate whether the instrument is operating within pre-defined specifications, inferring that patient test results are reliable. Once the test system is validated, patient results can then be used for diagnosis, prognosis, or treatment planning. Good laboratory practice requires testing normal and abnormal controls for each test at least daily to monitor the analytical process. If the test is stable for less than 24 hours or some change has occurred which could potentially affect the test stability, controls should be assayed more frequently. At least 4,5 regular testing of quality control products creates a QC database that the laboratory uses to validate the test system. Validation occurs by comparing daily QC results to a laboratory-defined range of QC values. The lab-defined range is calculated from QC data collected from testing of normal and abnormal controls. It is therefore useful to develop a quality assurance (QA) program that monitors as many steps as possible in reporting assay results, including sample processing, sample- and assay-specific components, and data analysis and reporting. The statistical results are useful to improve the cost effectiveness and time consuming. Westgard Rules and Levey-Jenings charts used in this manner.