ArticleHeliyon2023
Effect of an automated dispensing cabinet system on drug distribution effectiveness in a surgical unit.
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 11 citations in OpenAlex.
- Impact of a Hospital Information System-Integrated Automated Dispensing Cabinet on Medication Use and Safety in a Tertiary Hospital Emergency Department: A Prospective Before-and-After Study.Journal of clinical medicine · 2026Article
- Development and implementation of a new electroconvulsive therapy service line at a major medical center.BMC anesthesiology · 2026Article
- Conventional and hybrid time series models for forecasting medication dispensing and errors integration in automated dispensing cabinets.Scientific reports · 2025Article
- Implementing six sigma management to shorten the time of taking medicine from intelligent medicine cabinet in inpatient ward.Exploratory research in clinical and social pharmacy · 2025Article
- Analysis of the efficiency and effectiveness of technology transformation through the introduction of ADC in the Emergency Department: a Taiwanese case study.BMC health services research · 2025Article
- Benefits and challenges associated with implementation and ongoing use of automated dispensing cabinet for medicines: A scoping review.Exploratory research in clinical and social pharmacy · 2025Article
- Qualitative analysis to explore the barriers and facilitators around the implementation of automated dispensing cabinets at a large NHS Trust in England.Exploratory research in clinical and social pharmacy · 2025Article
- Exploring the Benefits, Barriers and Improvement Opportunities in Implementing Automated Dispensing Cabinets: A Qualitative Study.Pharmacy (Basel, Switzerland) · 2025Article
- Automated dispensing cabinets and their impact on the rate of omitted and delayed doses: A systematic review.Exploratory research in clinical and social pharmacy · 2024Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The use of the automated dispensing cabinet (ADC) for drug distribution in hospitals has become increasingly common and has numerous benefits. This retrospective study assessed the effectiveness of an ADC that uses integrated information technology in the drug distribution process in a surgical unit as part of a smart medical process improvement project at Taichung Veterans General Hospital in 2019. The outcomes include medicine delivery time, working time of healthcare professionals, transportation manpower, dispensing errors, and satisfaction of nursing staff with the medication distribution process. After ADC implementation, the average waiting time of standing orders decreased significantly for both on and off duty periods (40.0 ± 27.6 to 3.0 ± 3.9 min,
Indexed as
Identifiers
What OpenQuestion holds
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.