ArticleBMJ open quality2025
Optimising pharmacy processes in medication delivery service through digitalisation and automation.
Article in BMJ open quality, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- Integrated pharmaceutical care model by unit-based clinical pharmacists: Implementation and clinical impact.Exploratory research in clinical and social pharmacy · 2026Article
- Improving medication safety and efficiency in hospital pharmacy through a pharmacist-led, low-code mobile application: a prospective study.Frontiers in public health · 2026Observational
- Optimizing sustainable healthcare location routing problem: Incorporating triage, automated medicine lockers, and soft time windows.PloS one · 2026Article
- The Role of the Sleep Centre in the Future of Sleep Medicine. How Should It Be Organised? Will There Still Be Sleep Inpatients in the Future?Journal of sleep research · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rapid expansion of medication delivery service (MDS) during COVID-19 created many new roles in the pharmacy which are manpower intensive and not sustainable as pharmacy resumes counter collection services. To keep MDS operations sustainable, we identified the need to streamline and automate processes which are manual and repetitive. We seek to determine if the Plan, Do, Study, Act (PDSA) cycles would effectively reduce the man-hours required for the MDS over two phases in 1 year. Phase 1 involved digitalisation of order taking and automation of the data entry process. Phase 2 involved automating the order generation and accounting process to replicate the patient information matching task which was performed manually during bagging and dispatch of delivery orders. The baseline period for this study was from December 2020 to January 2021. The results following implementation of PDSA cycles in the respective phases were collected between January 2021 to June 2021 and July 2021 to December 2021. The average time taken for data entry per delivery order reduced from a range of 0.5 to 2.15 min to 0.08 to 0.1 min depending on the ordering method (p<0.05). The average time taken for bagging and dispatch per delivery order shortened from 2.7 min to 0.28 min (p<0.05). The improvements were sustained and cumulatively contributed to 11.8-man-hour savings. The impact of the interventions was discussed. As MDS gains prominence as an important alternative for medication collection due to its rapid expansion due to COVID-19, it is crucial for the pharmacy to expand its capacity and information technology capabilities to cope with higher workload from both MDS and walk-in patients.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.