Cited by 15Pharmacy and Medical PracticesPatient Safety and Medication ErrorsSafe Handling of Antineoplastic Drugs

Automation of a tertiary hospital pharmacy drug dispensing system in a lower-middle-income country: A case study and preliminary results

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Bagattini, Ângela Maria, Borges, José Luiz Alvim, Riera, Rachel, de Carvalho, Débora Cecília Mantovani Faustino·2022·Exploratory Research in Clinical and Social Pharmacy

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.

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Crossref · 10.1016/j.rcsop.2022.100151

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  • Benefits in cost savings were also described as a reduction in staffing costs.

    “Benefits in cost savings were also described as a reduction in staffing costs [13,23,38,54,59,63].”

    From Benefits and challenges associated with implementation and ongoing use of automated dispensing cabinet for medicines: A scoping review (2025) · cites this paper as [13]

    The Results table reports that annual overtime pay fell from R$26,798.82 before automation to R$4,327.35 afterward, and the Discussion describes reduced overtime pay for the central pharmacy team. This supports a reduction in one staffing expense, but not a reduction in overall staffing costs; the table shows that the number of pharmacy professionals involved rose from 48 to 59. No page number is available in our copy. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • Bagattini et al. described the benefits of streamlining medication selection with ADCs in reducing MAEs however also highlighted that prescribing and distribution errors persisted.

    “Bagattini et al. described the benefits of streamlining medication selection with ADCs in reducing MAEs however also highlighted that prescribing and distribution errors persisted.13”

    From Benefits and challenges associated with implementation and ongoing use of automated dispensing cabinet for medicines: A scoping review (2025) · cites this paper as [13]

    The Results report a lower dispensing-error rate after automation and show that prescription and distribution errors still occurred in 2017. However, the Methods identify the intervention studied as central-pharmacy PillPick and BoxPicker robots, not automated dispensing cabinets (ADCs); the paper does not attribute its findings to streamlined medication selection with ADCs. (LLM, conf=0.85)

    Experimental — accuracy not yet measured
  • Bagattini et al. observed direct cost saving from reduced overtime payment for central pharmacy team.

    “Bagattini et al. observed direct cost saving from reduced overtime payment for central pharmacy team.13”

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Research works printed but not linked: 14

  1. [1]Aldhwaihi K. Schifano F. Pezzolesi C. Umaru N. A systematic review of the nature of dispensing errors in hospital pharmacies Integr Pharm Res Pract 5 2016 1 10 10.2147/IPRP.S95733 29354533 PMC5741032 · DOI
  2. [2]Baker G.R. Norton P.G. Flintoft V. The Canadian adverse events study: the incidence of adverse events among hospital patients in Canada CMAJ 170 2004 1678 1686 10.1503/cmaj.1040498 15159366 PMC408508 · DOI
  3. [3]Wittich C.M. Burkle C.M. Lanier W.L. Medication errors: an overview for clinicians Mayo Clin Proc 89 2014 1116 1125 10.1016/j.mayocp.2014.05.007 24981217 · DOI
  4. [4]Ahtiainen H.K. Kallio M.M. Airaksinen M. Holmström A.-R. Safety, time and cost evaluation of automated and semi-automated drug distribution systems in hospitals: a systematic review Eur J Hosp Pharm 27 2020 10.1136/ejhpharm-2018-001791 253 LP – 262 PMC7447254 32839256 · DOI · Paper page
  5. [5]Cousein E. Mareville J. Lerooy A. Effect of automated drug distribution systems on medication error rates in a short-stay geriatric unit J Eval Clin Pract 20 2014 678 684 10.1111/jep.12202 24917185 PMC4524418 · DOI · Paper page
  6. [6]Fanning L. Jones N. Manias E. Impact of automated dispensing cabinets on medication selection and preparation error rates in an emergency department: a prospective and direct observational before-and-after study J Eval Clin Pract 22 2016 156 163 10.1111/jep.12445 26346850 · DOI
  7. [7]Batson S. Herranz A. Rohrbach N. Canobbio M. Mitchell S.A. Bonnabry P. Automation of in-hospital pharmacy dispensing: a systematic review Eur J Hosp Pharm Sci Pract 28 2021 58 64 10.1136/ejhpharm-2019-002081 PMC7907692 32434785 · DOI · Paper page
  8. [9]Chapuis C. Bedouch P. Detavernier M. Automated drug dispensing systems in the intensive care unit: a financial analysis Crit Care 19 2015 2011 2015 10.1186/s13054-015-1041-3 PMC4563942 26349855 · DOI · Paper page
  9. [10]De-Carvalho D. Alvim-Borges J. Toscano C. Impact assessment of an automated drug-dispensing system in a tertiary hospital Clinics 72 2017 629 636 10.6061/clinics/2017(10)07 29160426 PMC5666447 · DOI · Paper page
  10. [12]Santos T.R. Penm J. Baldoni A.O. Ayres L.R. Moles R. Sanches C. Hospital pharmacy workforce in Brazil Hum Resour Health 16 2018 1 10.1186/s12960-017-0265-5 29301559 PMC5755413 · DOI
  11. [13]World Health Organization (WHO) The Conceptual Framework for the International Classification for Patient Safety (ICPS) Final Technical Report January 2009 2010 10.1109/AERO.2013.6496891 1.1:154 · DOI
  12. [14]Noparatayaporn P. Sakulbumrungsil R. Thaweethamcharoen T. Sangseenil W. Comparison on human resource requirement between manual and automated dispensing systems Value Heal Reg Issues 12 2017 107 111 10.1016/j.vhri.2017.03.007 28648307 · DOI
  13. [15]Hitti E.A. Lewin J.J. 3rd Lopez J. Improving door-to-antibiotic time in severely septic emergency department patients J Emerg Med 42 2012 462 469 10.1016/j.jemermed.2011.05.015 21737222 · DOI
  14. [16]Le Gonidec P. Diallo M.L. Djoussa-Kambou S. Guizard M. Performances d’une solution associant l’automate de délivrance Pillpick® au logiciel de prescription Pharma® utilisée pour une activité de dispensation à délivrance nominative dans une unité de consultation et de soins ambulatoire Ann Pharm Fr 67 2009 84 90 10.1016/j.pharma.2008.12.004 19298891 · DOI

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Sorted by citations

Authors
Bagattini, Â. M., Borges, J. L. A., Riera, R., & de Carvalho, D. C. M. F.
Affiliations
Hospital Sírio-Libanês (BR)
Corresponding author
Bagattini, Ângela Maria
Venue
Exploratory Research in Clinical and Social Pharmacy
Publisher
Elsevier BV
Published
2022-06
Volume
6
Pages
100151
ISSN
2667-2766 (ISSN-L)
OpenAlex
W4282013632
Cited by
15
References
0
Citations by year
2026: 3 · 2025: 7 · 2024: 4 · 2023: 1
FWCI
2.74
Type
journal article
Language
en
Open access
Locations
  • Exploratory Research in Clinical and Social Pharmacy (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmacology › Pharmacy and Medical Practices
  • Health Sciences › Health Professions › Emergency Medical Services › Patient Safety and Medication Errors
  • Health Sciences › Health Professions › Occupational Therapy › Safe Handling of Antineoplastic Drugs
Keywords
automated drug dispensing, hospital pharmacy, medication errors, tertiary care hospital, lower-middle-income countries

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