ArticleExploratory research in clinical and social pharmacy2025
Implementing six sigma management to shorten the time of taking medicine from intelligent medicine cabinet in inpatient ward.
Article in Exploratory research in clinical and social pharmacy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Medication errors and delays in drug dispensing are persistent challenges in traditional pharmacy systems. Automated Dispensing Cabinets (ADCs) were introduced at the study hospital in July 2022 to improve medication safety and efficiency. However, the initial implementation phase revealed several issues, including prolonged medication retrieval times, suboptimal cabinet layout, system interface limitations, and inconsistent user operations. These challenges highlighted the need for further system optimization using a structured improvement approach. Objective: This study aims to implement an inpatient pharmacy management system based on Six Sigma methodology and compare its effectiveness with TPS in terms of medication convenience and error reduction. Methods: Starting in July 2022, an intelligent pharmacy management model was implemented in inpatient wards, centered around ADCs and guided by the Six Sigma methodology. Comprehensive improvements were made to address issues such as baseline medication management inefficiencies and delays in retrieving medications for temporary orders. The study compared various metrics, including the time required for retrieving medications for temporary orders, medication administration time, medication error rates before after one month of implementing the intelligent system and nurses' satisfaction with the intelligent system. Results: Compared with the pre-implementation phase, the intelligent system significantly reduced the time required for nurses to retrieve medications and execute orders ( Conclusion: The application of an intelligent inpatient pharmacy management system based on the Six Sigma methodology effectively reduced the time nurses needed to retrieve medications, enhanced overall nurse satisfaction, lowered error rates caused by human factors.
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.