IJFANS International Journal of Food and Nutritional Sciences
-
Effect of Biostimulants (Azospirillum, Pseudomonas and Bacillus) on the growth and disease suppression of neem Azadirachta indica (A) juss.seedlings
Volume 13 | Issue 4
-
“Pigments of Imagination & Color Psychology of Consumers towards Apparel: A Perceptual Study”
Volume 13 | Issue 4
-
Exploring The Relationship Between Weather Patterns and Energy Consumption in Smart Homes: A Regression Analysis
Volume 13 | Issue 4
-
DEEP LEARNING BASED APPROACH FOR BIRD SPECIES IDENTIFICATION AND CLASSIFICATION
Volume 13 | Issue 4
-
ML-DRIVEN WASTE CLASSIFICATION FOR EFFECTIVE ORGANIC AND NON-ORGANIC WASTE MANAGEMENT
Volume 13 | Issue 4
DETECTION OF MEDICATION ERRORS IN PHARMACY USING DEEP LEARNING TECHNIQUES
Main Article Content
Abstract
This research paper investigates medication errors (MEs) in community pharmacies over a three-year period, focusing on pharmacist roles in detection and prevention. Utilizing sentinel pharmacies, the study reports 1400 MEs from January 2019 to December 2021. The impact of the COVID-19 pandemic on ME incidence rates is explored, revealing notable changes. Primary causes of MEs in community pharmacies include incorrect medical prescriptions. The study emphasizes the critical role of community pharmacists in averting errors and stresses the need for increased awareness and pharmacist involvement in patient and drug safety. Overall, it contributes valuable insights to the discourse on MEs and patient safety
