This paper discusses the use of bar-code technology and medication observation within the medical field.
Written in 2008; 1,000 words; 1 sources; MLA; $ 35.95
Paper Summary:
In this article, the writer provides a critique of the article "Using Bar-Code Technology and Medication Observation Methodology for Safer Medication Administration" by Paoletti RD, Suess TM, Lesko MG, Feroli AA, Kennel JA, Mahler JM et al. The writer notes that the use of technology as an adjunct to hospital unit administration is a relatively recent trend that is slowly becoming a standard among hospitals that can afford the shift to these technologies with minimal resistance from personnel. The writer discusses that these technologies have a demonstrated preventive benefit particularly in terms of detecting medication errors and in deterring erring nursing personnel from bad practice habits. The writer notes that the article discussed details the benefits of one such technological innovation already in use in many hospitals.
Outline:
Introduction
Analysis of Research Report
Problem Statement
Study Purpose
Research Hypotheses or Questions
Conceptual Model/Theoretical Framework
Review of Related Literature
Study Design
Target Population and Sample
Data Collection Methods
Findings and Implications for Practice, Education or Future Research
Summary
From the Paper:
"The research paper did not pose any research questions, nor did it assert any hypotheses to that effect. The lack of these elements in this paper did not detract from comprehending what the research intended to report primarily because of the simplicity of the primary purpose of the study, i.e. to reduce medication errors. A possible research hypothesis would be to the effect of: the implementation of BCMA would significantly lower the number of medication errors committed compared to handwritten medication administration and EMAR."
"The study's independent variable was the method of medication administration through one of three means: BCMA, EMAR and manual, handwritten medication administration. The dependent variable measured was the number of errors."
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