机构:
Acibadem Mehmet Ali Aydinlar Univ, Sch Med, Dept Med Biochem, Istanbul, TurkeyAcibadem Mehmet Ali Aydinlar Univ, Sch Med, Dept Med Biochem, Istanbul, Turkey
Coskun, Abdurrahman
[1
]
Serteser, Mustafa
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h-index: 0
机构:
Acibadem Mehmet Ali Aydinlar Univ, Sch Med, Dept Med Biochem, Istanbul, TurkeyAcibadem Mehmet Ali Aydinlar Univ, Sch Med, Dept Med Biochem, Istanbul, Turkey
Serteser, Mustafa
[1
]
Unsal, Ibrahim
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h-index: 0
机构:
Acibadem Mehmet Ali Aydinlar Univ, Sch Med, Dept Med Biochem, Istanbul, TurkeyAcibadem Mehmet Ali Aydinlar Univ, Sch Med, Dept Med Biochem, Istanbul, Turkey
Unsal, Ibrahim
[1
]
机构:
[1] Acibadem Mehmet Ali Aydinlar Univ, Sch Med, Dept Med Biochem, Istanbul, Turkey
laboratory error;
normal distribution;
sigma metric;
Six Sigma;
uniform distribution;
D O I:
10.11613/BM.2019.010902
中图分类号:
R446 [实验室诊断];
R-33 [实验医学、医学实验];
学科分类号:
1001 ;
摘要:
Six Sigma methodology has been used successfully in industry since the mid-1980s. Unfortunately, the same success has not been achieved in laboratory medicine. In this case, although the multidisciplinary structure of laboratory medicine is an important factor, the concept and statistical principles of Six Sigma have not been transferred correctly from industry to laboratory medicine. Furthermore, the performance of instruments and methods used in laboratory medicine is calculated by a modified equation that produces a value lower than the actual level. This causes unnecessary, increasing pressure on manufacturers in the market. We concluded that accurate implementation of the sigma metric in laboratory medicine is essential to protect both manufacturers by calculating the actual performance level of instruments, and patients by calculating the actual error rates.