مدیریت اطلاعات سلامت (Apr 2015)
Identify Pharmaceutical processes potential errors using Failure Mode and Effect Analysis
Abstract
Introduction: medication errors, patient safety risk factors that attempt to identify and track which has been discussed in recent years. This study aims to identify, assess, prioritize and process analysis to medication administration errors in hospitals Peymanieh using Failure Mode and Effect Analysis error as risk management techniques and was designed to enhance patient safety. Methods: This study is a descriptive study which combines quantitative - qualitative methodology Modes and Effects error with FMEA (Failure Mode and Effect Analysis) Peymanieh at the hospital in 2012, has analyzed. To collect data from a worksheet and standard error modes analysis technique and its effects and sampling was purposeful. In this method, each of errors based on the severity of the error occurrence rate of error and the probability of error detection was given a score between 1 and 10, which is obtained by multiplying the score RPN. Results: method FMEA, 81 cases of potential error in 11 selected areas of medication administration process to identify and evaluate and score each of RPN was calculated. The overall mean score eleven RPN scope of the drug was found to give the lowest score of nearly 190 references related to service personnel receive the highest score in drug-drug card for drugs belonged to the sphere of writing. For analysis data use of Excell 2010 software and data calculating and rating based on RPN= S.O.D formula. Conclusion: Considering the high rate of medical error, it seems that the field of study and understanding of working conditions and adjusted to reduce errors and provide. In general, techniques such as FMEA and a proactive approach must be based on teamwork, increase accuracy and attention to their employees' career potential weaknesses and trying to eliminate them.
