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Address the factors related to increases the level of expiry in pharmaceutical stock at king abdullah medical city

Author: 
Ahmed Alsuwayhiri, Khadijah Salah Maqbul, Yaqoob Abobakar, KhaledAl-Qethami, Abeer Alomiri and Hatoon Akram
Subject Area: 
Health Sciences
Abstract: 

The pharmaceutical stock has been identified as second largest annual expenses in the budget of healthcare institutions. Pharmacy overstock is high expenses and it’s very important to estimate annual level of inventories to overcome waste in resources. Current study aims to identify pharmaceutical items with high growth rate during the 8 years and percentage of wrong estimation. Cohort Retrospective study design uses medical inventories data from the ERP system “Enterprise resource planning Software”. Total number of medical items are about 2077 some of them unplanned requested and other have substitutes so the total number addressed where 974 pharmaceutical products in the study were analyzed to generate the percentage of estimation. Result shows that Radiology and Gastroenterology departments have highest percentage of wrong estimating in their annual demand. It also shows that most of the department underestimated their annual quantity utilization. Many reasons increase the quantity of lending some medication such as transferring patients to another institution this will force KAMC to provide medication for transferred patient. Additionally, unstable utilization urges KAMC to redistribute the nearly expired Medication by lending them to other healthcare organization and get new quantity upon the request in different time. The drugs products with high percentage of borrowing are refer to bad quality of services due to discontinuity of healthcare services and even borrowing process not immediately cover the need it takes time, and this will affected the business continuity. The study found high discrepancy between proposed maximum values and actual maximum values during eight years. Research team decides to be generated new amount from the average values of previous years recorded and add to them the amount of growth value to decreases the variances in the future quantity.

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