Observational studyFrontiers in public health2026
Improving medication safety and efficiency in hospital pharmacy through a pharmacist-led, low-code mobile application: a prospective study.
Observational study in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Traditional manual inventory management in hospital pharmacies is error-prone and inefficient, jeopardizing patient safety. Low-code platforms enable clinicians to build software, but their impact needs rigorous evaluation. To evaluate a pharmacist-led, low-code mobile inventory application's impact on operational efficiency, accuracy, and labor in a hospital pharmacy. Methods: A prospective observational study was conducted over 12 months in a 1,460-bed tertiary hospital (formulary: 3,850 items). Pharmacists used a low-code platform to design, build, and iteratively refine a mobile inventory application through agile sprints. The application was deployed across twelve pharmacy subzones. Primary outcomes were inventory cycle time, error rate, stock variance, and labor allocation. Analysis included paired comparisons, multiple linear regression, discrete-event simulation for scalability projection, and sensitivity analysis. Results: Average weekly inventory cycle time decreased by 60.3%, from 14.6 ± 2.3 to 5.8 ± 1.1 h ( Conclusion: The pharmacist-led, low-code model was associated with marked improvements in pharmacy inventory management, showing substantial gains in efficiency, accuracy, and clinical time reallocation. It offers a scalable, cost-effective framework for healthcare digitization centered on domain expertise.
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