» Articles » PMID: 35770196

Automation of a Tertiary Hospital Pharmacy Drug Dispensing System in a Lower-middle-income Country: A Case Study and Preliminary Results

Overview
Date 2022 Jun 30
PMID 35770196
Authors
Affiliations
Soon will be listed here.
Abstract

Background: An increase in the use of automated systems has optimised the drug dispensing process in hospitals.

Methods: This case study describes the implementation of automated drug dispensing system and presents the preliminary results of automated pharmaceutical dispensing with robots (PillPick® and BoxPicker®, ©Swisslog Healthcare) at Hospital Sírio-Libanês, a private tertiary hospital in Brazil.

Results: During the study period, between 2013 (pre-automation) and 2017 (post-automation) the number total of medication errors has not changed post-automation, but there was significant reduction in error in the dispensing phase with a relative risk of 0.84 (95% confidence interval: 0.70-0.99) withal a reduction in the numbers of returned items, breakages, and loss of medications, although that delivery times have increased..

Conclusion: The study results suggest that the use of robotic systems in the central pharmacy may improve hospital pharmacy management and generate only a few errors in dispensing pharmaceuticals.

Citing Articles

Assessment of Automation Models in Hospital Pharmacy: Systematic Review of Technologies, Practices, and Clinical Impacts.

Meknassi Salime G, Bhirich N, Cherif Chefchaouni A, El Hamdaoui O, El Baraka S, Elalaoui Y Hosp Pharm. 2025; :00185787251315622.

PMID: 40026489 PMC: 11869230. DOI: 10.1177/00185787251315622.


Exploring the Benefits, Barriers and Improvement Opportunities in Implementing Automated Dispensing Cabinets: A Qualitative Study.

Mutair A, Elgamri A, Taleb K, Alhassan B, Alsalim M, Alduriahem H Pharmacy (Basel). 2025; 13(1).

PMID: 39998010 PMC: 11859922. DOI: 10.3390/pharmacy13010012.


The digital transformation of nursing practice: an analysis of advanced IoT technologies and smart nursing systems.

Wang B, Shi X, Han X, Xiao G Front Med (Lausanne). 2024; 11:1471527.

PMID: 39678028 PMC: 11638746. DOI: 10.3389/fmed.2024.1471527.


Comparing Patient Satisfaction with Automated Drug Dispensing System and Traditional Drug Dispensing System: A Cross-Sectional Study.

Amirthalingam P, Alruwaili A, Albalawi O, Alatawi F, Alqifari S, Alatawi A Patient Prefer Adherence. 2024; 18:2337-2345.

PMID: 39583135 PMC: 11585295. DOI: 10.2147/PPA.S492802.


Enhancing Operational Efficiency and Service Delivery through a Robotic Dispensing System: A Case Study from a Retail Pharmacy in Brazil.

Basile K, Martinez M, Lucaci J, Goldblatt C, Beer I Pharmacy (Basel). 2024; 12(5).

PMID: 39311121 PMC: 11417772. DOI: 10.3390/pharmacy12050130.

References
1.
Noparatayaporn P, Sakulbumrungsil R, Thaweethamcharoen T, Sangseenil W . Comparison on Human Resource Requirement between Manual and Automated Dispensing Systems. Value Health Reg Issues. 2017; 12:107-111. DOI: 10.1016/j.vhri.2017.03.007. View

2.
de-Carvalho D, Alvim-Borges J, Toscano C . Impact assessment of an automated drug-dispensing system in a tertiary hospital. Clinics (Sao Paulo). 2017; 72(10):629-636. PMC: 5666447. DOI: 10.6061/clinics/2017(10)07. View

3.
Aldhwaihi K, Schifano F, Pezzolesi C, Umaru N . A systematic review of the nature of dispensing errors in hospital pharmacies. Integr Pharm Res Pract. 2018; 5:1-10. PMC: 5741032. DOI: 10.2147/IPRP.S95733. View

4.
Wittich C, Burkle C, Lanier W . Medication errors: an overview for clinicians. Mayo Clin Proc. 2014; 89(8):1116-25. DOI: 10.1016/j.mayocp.2014.05.007. View

5.
Santos T, Penm J, Baldoni A, Ayres L, Moles R, Sanches C . Hospital pharmacy workforce in Brazil. Hum Resour Health. 2018; 16(1):1. PMC: 5755413. DOI: 10.1186/s12960-017-0265-5. View