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Evaluation of Medication Errors in Hospitalized Patients
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Objectives: Many medication errors occur in the hospital, and these can endanger patients. The purpose of this study was to evaluate the incidence of medication errors in hospitalized patients, and to categorize the most frequent types of errors, and to asses the possible measures that may prevent the occurrence of such errors.
Methods: A prospective, exploratory, and evaluative study, using direct observation method to detect medication errors in adult hospitalized patients in medical and surgical units in Baquba Teaching Hospital- Diyala-Iraq.. The files of 299 patients had been reviewed from July 2009 to September 2009, including medication orders and treatment sheets to detect existing errors. The detected errors were recorded and classified using special form designed according to standard classification of medication errors.
Results: During the study period, a total of 299 patient's files were reviewed and identified. The incidence of medication errors was 8.7%. The most common types of errors; where incorrect medication which includes 38.46% for not indicated drugs and 19.23% for drug-drug interaction. The incorrect dose represents the second common type of medication errors which include 15.38% for over dose and 3.85% for under dose. The classification of medication errors in this study were 61.54% prescribing errors, followed by 19.23% for each of dispensing errors and administration errors.
Conclusions: Medication errors occur for a variety of reasons, including inaccurate communications and deficits in knowledge and performance by and among all health care professionals. In this study we addressed and identified that prescribing errors are the most common type of medication errors followed by dispensing and admintration types, so, all health care professionals have a responsibility in identifying contributing factors to medication errors and to use obtained information to reduce further error occurrence.

 

 

 

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Publication Date
Sat Dec 21 2019
Journal Name
Iraqi Journal Of Pharmaceutical Sciences ( P-issn 1683 - 3597 E-issn 2521 - 3512)
Synthesis, Characterization and Preliminary Anticancer Study of Novel 5-fluorouracil Conjugate with Pyrrolidine Dithiocarbamate as a Mutual Anticancer Prodrug
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Journal Name
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Publication Date
Sun Mar 06 2016
Journal Name
Baghdad Science Journal
Addition of Some Primary and Secondary Amines to Graphene Oxide, and Studying Their Effect on Increasing its Electrical Properties
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Fri Jan 01 2021
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Improving the efficiency and security of passport control processes at airports by using the R-CNN object detection model
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The use of real-time machine learning to optimize passport control procedures at airports can greatly improve both the efficiency and security of the processes. To automate and optimize these procedures, AI algorithms such as character recognition, facial recognition, predictive algorithms and automatic data processing can be implemented. The proposed method is to use the R-CNN object detection model to detect passport objects in real-time images collected by passport control cameras. This paper describes the step-by-step process of the proposed approach, which includes pre-processing, training and testing the R-CNN model, integrating it into the passport control system, and evaluating its accuracy and speed for efficient passenger flow

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Wed Feb 01 2023
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Meta Gene
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Fri Mar 10 2017
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Conceptual designs of conduction cooled MgB<sub>2</sub> magnets for 1.5 and 3.0 T full body MRI systems
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