ArticleJAMIA open2026
Verification of the value of optimization of the medication-related clinical decision support system in China, a hospital-based study.
Article in JAMIA open, 2026. 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
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: This study evaluated the optimization of a medication-related clinical decision support system (MRCDSS) in a 1000-bed general hospital in China by analyzing clinician responses. Methods: The indices "Alert generation rate," "Pharmacist review appropriateness rate," "Prescription appropriateness," and "Override rates" were assessed for senior and junior clinicians before (March-May 2021) and after optimization (March-May 2023). Results: Significant reductions in "Alert generation" and "Total override rates," and significant increases in "Pharmacist review appropriateness rate" and "Prescription appropriateness rate" were observed across all clinician levels. MRCDSS optimization improved prescription appropriateness more efficiently in junior clinicians, whereas senior clinicians had a greater impact on MRCDSS decision making. Discussion: The findings confirm the value of continuous MRCDSS optimization in enhancing prescription quality, reducing alert generation and override rates, and improving the consensus between clinicians and pharmacists. Conclusion: We confirmed the importance of constant optimization in the application of the MRCDSS in clinical settings.
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.