SynthesisJournal of preventive medicine and public health = Yebang Uihakhoe chi2026
Digital Technologies in Hospital Pharmacy: A Systematic Review of Their Impact on Efficiency, Safety, and Inventory Management.
Synthesis in Journal of preventive medicine and public health = Yebang Uihakhoe chi, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Article
- Emerging advancements and expanding technological scope of education and practices in pharmacy and pharmaceutical sciences.BioImpacts : BI · 2026Review
- Pharmacy inventory management practices and constraints in Asia-Pacific hospitals: a systematic review and qualitative synthesis.Journal of pharmaceutical policy and practice · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
objectivesDigital transformation in hospital pharmacies is a strategic priority to improve medication safety, optimize inventory management, and streamline dispensing. Although healthcare digitalization has been widely studied, evidence of its impact on key performance indicators within hospital pharmacy operations remains limited. This review consolidates available evidence on how digital technologies affect hospital pharmacy performance, focusing on dispensing time, medication safety, and inventory practices.
methodsA systematic review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. Web of Science, PubMed, and Scopus were searched for English-language studies (2014-2024) conducted in general, academic, or tertiary hospitals. Eligible interventions included automation technologies (e.g., automated dispensing cabinets, robotic dispensing), digital systems (e.g., computerized physician order entry, electronic prescribing), or hybrid platforms. Outcomes included measures of dispensing efficiency, medication safety, and inventory management. Two reviewers independently screened studies and extracted data.
resultsOf 319 records, 9 studies met the inclusion criteria, spanning Saudi Arabia, the United States, Denmark, Iran, Jordan, Australia, and France. Most reported improvements in dispensing efficiency, safety (through lower error rates), and inventory control. Secondary gains included streamlined workflows and higher staff satisfaction. Challenges included resource-intensive implementation, workflow disruption, technological downtime, interoperability issues, and reliance on user compliance. Operational gains did not always yield measurable clinical benefits such as reduced morbidity or length of stay.
conclusionsDigital technologies can improve efficiency, safety, and inventory control in hospital pharmacies; however, their success depends on institutional readiness, infrastructure, and human factors. Robust studies are needed to evaluate long-term impacts, cost-effectiveness, and implementation strategies.
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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.