Analysis and Preventive Measures of Drug Dispensing Errors in Inpatient Pharmacy

2021 ◽  
2017 ◽  
Vol 1 (1) ◽  
pp. 15 ◽  
Author(s):  
Haryman Utama Suryadinata

Background: Pharmacy as the main core of hospital is responsible for the quality and safety of medicines.Yet the numbers of medication errors are still high. Automated Dispensing Machine (ADM) is one of the solutions to reduce the dispensing errors in pharmacy. Many countries had studied and proved that the use of ADM gives more benefit than liability. However, ADM is considered as something new, a “nice to have” product.Aims: This study will explain the benefits of ADM especially in Indonesian hospital pharmacy.Methods: Systemic Review with PRISMA method uses 5 databases as Scopus, Springerlink, Google Scholar, Science Direct and ProQuest, with keywords Automated Dispensing Machine, Automated Dispensing Device, Automated Dispensing System, Automated Drug Dispensing System, or Robotic Dispensing System. The inclusion criteria are all the studies that showed any impact in minimum of one aspect ofADM in hospital.Results: There are 13 studies that explained ADM benefits such as increase staff satisfaction for the nurse and pharmacist, reduce dispensing errors about 35% or up to reducing all dispensing errors, time saving until 50% in peak hours and cost analysis and effectiveness. The cost anaylsis such as inventory stock reduction, increases the cost saving.Conclusion:In Indonesia, it needs many considerations to implement ADM but it had already installed in 1 Indonesia Hospital. This hospital had proved that ADM can reduce dispensing errors and can solve some pharmacy problem such as the human resources problems and the long waiting time.With the proven benefits of ADM, it is justified for Indonesian hospital to implement ADM and information system in their pharmacy. The effectiveness will perceive the pharmacy andpositively affect to all related departments in hospital. Keywords: Automated dispensing machine, automated dispensing system, automated dispensing device, robotic dispensing system, automated drug dispensing system 


Clinics ◽  
2007 ◽  
Vol 62 (3) ◽  
pp. 243-250 ◽  
Author(s):  
Tânia Azevedo Anacleto ◽  
Edson Perini ◽  
Mário Borges Rosa ◽  
Cibele Comini César

2009 ◽  
Vol 36 (3) ◽  
pp. 305-327 ◽  
Author(s):  
Lien-Chin Chen ◽  
Chun-Hao Chen ◽  
Hsiao-Ming Chen ◽  
Vincent S. Tseng

Author(s):  
Hirotaka Kanzaki ◽  
Yuta Tanaka ◽  
Toshimitsu Konuma ◽  
Shigeki Nishihara ◽  
Yohei Manabe ◽  
...  

2011 ◽  
Vol 152 (35) ◽  
pp. 1391-1398 ◽  
Author(s):  
Judit Lám ◽  
Erzsébet Rózsa ◽  
Mónika Kis Szölgyémi ◽  
Éva Belicza

Medication errors occur very frequently. The limited knowledge of contributing factors and risks prevents the development and testing of successful preventive strategies. Objective: To investigate the differences between the ordered and dispensed drugs, and to identify the risks during medication. Methods: Prospective direct observation at two inpatient hospital wards. Results: The number of observed doses was 775 and the number of ordered doses was 806. It was found that from the total opportunities of 803 errors 114 errors occurred in dispensed drugs corresponding to an error rate of 14.1%. Among the different types of errors, the most important errors were: dispensing inappropriate doses (25.4%), unauthorized tablet halving or crushing (24.6%), omission errors (16.4%) and dispensing an active ingredient different from the ordered (14.2%). 87% of drug dispensing errors were considered as errors with minor consequences, while 13% of errors were potentially serious. Conclusions: Direct observation of the drug dispensing procedure appears to be an appropriate method to observe errors in medication of hospital wards. The results of the study and the identified risks are worth to be reconsidered and prevention measures should be applied to everyday health care practice to improve patient safety. Orv. Hetil., 2011, 152, 1391–1398.


2016 ◽  
Vol 58 (3) ◽  
pp. 347
Author(s):  
Amar Bavle ◽  
Chittaranjan Andrade

2007 ◽  
Vol 127 (9) ◽  
pp. 1515-1521 ◽  
Author(s):  
Nobuaki KUTSUMA ◽  
Katsunori YAMAURA ◽  
Shigeru HOSAKA ◽  
Kazuo KASUGA ◽  
Taketoshi KORESAWA ◽  
...  

2015 ◽  
Vol 21 ◽  
pp. 97
Author(s):  
Nitika Malhotra ◽  
Reem Alnazawi ◽  
Ved Gossain ◽  
Matthew Hebdon
Keyword(s):  

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