Hongpeng Chen, Fapeng Wang, L. Su, D. Pan, Xiuyang Li, Hong Chen, Yuxun Tang, Zhaomin Jin, Weiming Weng, Hongwei Fan
{"title":"Mathematical Statistics of Factors Affecting the Unqualified Quality of Blood Samples in Medical Examination","authors":"Hongpeng Chen, Fapeng Wang, L. Su, D. Pan, Xiuyang Li, Hong Chen, Yuxun Tang, Zhaomin Jin, Weiming Weng, Hongwei Fan","doi":"10.1109/ICPHDS51617.2020.00056","DOIUrl":null,"url":null,"abstract":"In this paper, the main factors that affected the unqualified factors of blood samples in clinical medical examination were discussed, and provided favorable theoretical basis and control countermeasures for the teaching reform and development of clinical laboratory mathematical statistics in medical colleges and universities. From January 2020 to October 2020, 1355 unqualified blood samples were analyzed. The results of mathematical statistics analysis showed that the common factors of unqualified blood samples were included: hemolysis 279 cases (20.64%), coagulation 238 cases (17.60%), anticoagulant incomplete 146 cases (10.80%), improper blood collection test tube 137 cases (10.13%), insufficient specimen volume 194 cases (14.28%), inadequate preparation of 127 cases (9.39%), delayed submission for examination 98 (7.17%), 72 cases (5.33%) of blood sampling from the same side of infusion, and 64 cases (4.66%) of other factors. There were many reasons for unqualified blood samples, but some of them sometimes could completely be avoided. This required that each department should improve the blood sample control system, and at the same time enhanced the sense of responsibility and professional skills of the staff, so as to reduce the unqualified rate of samples as much as possible, which could make the test results more accurate, and have a great help for early diagnosis and differential diagnosis.","PeriodicalId":308387,"journal":{"name":"2020 International Conference on Public Health and Data Science (ICPHDS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Public Health and Data Science (ICPHDS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPHDS51617.2020.00056","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, the main factors that affected the unqualified factors of blood samples in clinical medical examination were discussed, and provided favorable theoretical basis and control countermeasures for the teaching reform and development of clinical laboratory mathematical statistics in medical colleges and universities. From January 2020 to October 2020, 1355 unqualified blood samples were analyzed. The results of mathematical statistics analysis showed that the common factors of unqualified blood samples were included: hemolysis 279 cases (20.64%), coagulation 238 cases (17.60%), anticoagulant incomplete 146 cases (10.80%), improper blood collection test tube 137 cases (10.13%), insufficient specimen volume 194 cases (14.28%), inadequate preparation of 127 cases (9.39%), delayed submission for examination 98 (7.17%), 72 cases (5.33%) of blood sampling from the same side of infusion, and 64 cases (4.66%) of other factors. There were many reasons for unqualified blood samples, but some of them sometimes could completely be avoided. This required that each department should improve the blood sample control system, and at the same time enhanced the sense of responsibility and professional skills of the staff, so as to reduce the unqualified rate of samples as much as possible, which could make the test results more accurate, and have a great help for early diagnosis and differential diagnosis.