Invention and Validation of an Automated Camera System That Uses Optical Character Recognition to Identify Patient Name Mislabeled Samples | Zendy

Charles D. Hawker | Zendy; William H. McCarthy | Zendy; David Cleveland | Zendy; Bonnie L Messinger | Zendy

Open Access

Invention and Validation of an Automated Camera System That Uses Optical Character Recognition to Identify Patient Name Mislabeled Samples

Author(s) -

Charles D. Hawker,

William H. McCarthy,

David Cleveland,

Bonnie L Messinger

Publication year - 2013

Publication title -

clinical chemistry

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.705

H-Index - 218

eISSN - 1530-8561

pISSN - 0009-9147

DOI - 10.1373/clinchem.2013.215434

Subject(s) - optical character recognition , computer science , standardization , artificial intelligence , quality assurance , sample (material) , medicine , image (mathematics) , chemistry , external quality assessment , pathology , chromatography , operating system

Mislabeled samples are a serious problem in most clinical laboratories. Published error rates range from 0.39/1000 to as high as 1.12%. Standardization of bar codes and label formats has not yet achieved the needed improvement. The mislabel rate in our laboratory, although low compared with published rates, prompted us to seek a solution to achieve zero errors.

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