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Patient identification errors: The detective in the laboratory
Authors:Maria Salinas  Maite López-Garrigós  Rosa Lillo  Mercedes Gutiérrez  Javier Lugo  Carlos Leiva-Salinas
Affiliation:1. Clinical Laboratory Department, Hospital Universitario de San Juan, San Juan de Alicante, Spain;2. Biochemistry and Molecular Pathology Department, Universidad Miguel Hernandez, Elche, Spain;3. Radiology Department, Hospital Universitario y Politécnico La Fe, Valencia, Spain;1. NHS Dumfries & Galloway, Dumfries & Galloway Royal Infirmary, Dumfries, UK;2. Better Blood Transfusion, Scottish National Blood Transfusion Service, Gartnavel, Glasgow, UK;3. Oxford University Hospitals NHS Trust, Oxford, UK;4. Systematic Review Initiative, NHS Blood and Transplant, John Radcliffe Hospital, Oxford, UK;5. NHS Blood and Transplant and National Institute for Health Research (NIHR) Oxford Biomedical Research Centre at Oxford University Hospitals NHS Trust and University of Oxford, Oxford, UK
Abstract:BackgroundThe eradication of errors regarding patients' identification is one of the main goals for safety improvement. As clinical laboratory intervenes in 70% of clinical decisions, laboratory safety is crucial in patient safety. We studied the number of Laboratory Information System (LIS) demographic data errors registered in our laboratory during one year.MethodsThe laboratory attends a variety of inpatients and outpatients. The demographic data of outpatients is registered in the LIS, when they present to the laboratory front desk. The requests from the primary care centers (PCC) are made electronically by the general practitioner. A manual step is always done at the PCC to conciliate the patient identification number in the electronic request with the one in the LIS. Manual registration is done through hospital information system demographic data capture when patient's medical record number is registered in LIS. Laboratory report is always sent out electronically to the patient's electronic medical record. Daily, every demographic data in LIS is manually compared to the request form to detect potential errors.ResultsFewer errors were committed when electronic order was used. There was great error variability between PCC when using the electronic order.ConclusionsLIS demographic data manual registration errors depended on patient origin and test requesting method. Even when using the electronic approach, errors were detected. There was a great variability between PCC even when using this electronic modality; this suggests that the number of errors is still dependent on the personnel in charge of the technology.
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