机构:
Pathol & Lab Management Associates, Ann Arbor, MI 48106 USAPathol & Lab Management Associates, Ann Arbor, MI 48106 USA
Valenstein, Paul N.
[1
]
Alpern, Ann
论文数: 0引用数: 0
h-index: 0
机构:
Pathol & Lab Management Associates, Ann Arbor, MI 48106 USAPathol & Lab Management Associates, Ann Arbor, MI 48106 USA
Alpern, Ann
[1
]
Keren, David F.
论文数: 0引用数: 0
h-index: 0
机构:
Pathol & Lab Management Associates, Ann Arbor, MI 48106 USA
Warde Med Lab, Ann Arbor, MI USAPathol & Lab Management Associates, Ann Arbor, MI 48106 USA
Keren, David F.
[1
,2
]
机构:
[1] Pathol & Lab Management Associates, Ann Arbor, MI 48106 USA
Laboratory error;
Sentinel event;
Root cause;
Systematic;
Large scale;
D O I:
10.1309/AJCPXLZE0YYNID0X
中图分类号:
R36 [病理学];
学科分类号:
100104 ;
摘要:
Extensive use of automation in the clinical laboratory creates the potential for systematic errors that affect a large number of patient results before the error is discovered. When a large-scale testing error is found, the approaches recommended for responding to individual medical mishaps are often inadequate. This report uses 2 case studies to illustrate some of the unique challenges facing laboratory managers confronted with a large-scale testing error. We identify 9 distinct constituencies that may be impacted by large-scale testing errors, each of which requires laboratory management's thoughtful and timely attention.