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      The detection and prevention of errors in laboratory medicine.

      Annals of Clinical Biochemistry
      Data Collection, Humans, Laboratories, standards, Medical Errors, prevention & control, Patients, Self Care

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          Abstract

          The last few decades have seen a significant decrease in the rates of analytical errors in clinical laboratories. Evidence demonstrates that pre- and post-analytical steps of the total testing process (TTP) are more error-prone than the analytical phase. Most errors are identified in pre-pre-analytic and post-post-analytic steps outside of the laboratory. In a patient-centred approach to the delivery of health-care services, there is the need to investigate, in the TTP, any possible defect that may have a negative impact on the patient. In the interests of patients, any direct or indirect negative consequence related to a laboratory test must be considered, irrespective of which step is involved and whether the error depends on a laboratory professional (e.g. calibration/testing error) or non-laboratory operator (e.g. inappropriate test request, error in patient identification and/or blood collection). Patient misidentification and problems communicating results, which affect the delivery of diagnostic services, are recognized as the main goals for quality improvement. International initiatives aim at improving these aspects. Grading laboratory errors on the basis of their seriousness should help identify priorities for quality improvement and encourage a focus on corrective/preventive actions. It is important to consider not only the actual patient harm sustained but also the potential worst-case outcome if such an error were to reoccur. The most important lessons we have learned are that system theory also applies to laboratory testing and that errors and injuries can be prevented by redesigning systems that render it difficult for all health-care professionals to make mistakes.

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          Journal
          19952034
          10.1258/acb.2009.009222

          Chemistry
          Data Collection,Humans,Laboratories,standards,Medical Errors,prevention & control,Patients,Self Care
          Chemistry
          Data Collection, Humans, Laboratories, standards, Medical Errors, prevention & control, Patients, Self Care

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