Evidence map›Paper›PMID 42789927›Full record

ArticleJMIR medical informatics2026

A Quantifiable 3D Closed-Loop Framework for Controlled Substance Safety in a HIMSS Electronic Medical Record Adoption Model (EMRAM) Stage 7 Hospital: Pre-Post Quality Improvement Study.

Nasha Sun, Jihua Su, Qiyi Yu, Yong Xu, Mali Zhuo

Abstract read
In one paragraph

Article in JMIR medical informatics, 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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1 · What the graph read from it

What it found

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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.

2 · The registry

The trial behind it

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3 · Its place in the literature

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Nasha SunNingbo Hospital of Integrated Traditional Chinese and Western Medicine, Yinzhou District Second Hospital, Ningbo, Zhejiang, China.ORCID https://orcid.org/0009-0000-5079-8629
Jihua SuNingbo Hospital of Integrated Traditional Chinese and Western Medicine, Yinzhou District Second Hospital, Ningbo, Zhejiang, China.ORCID https://orcid.org/0009-0008-9809-4231
Qiyi YuNingbo Hospital of Integrated Traditional Chinese and Western Medicine, Yinzhou District Second Hospital, Ningbo, Zhejiang, China.ORCID https://orcid.org/0009-0002-5909-9423
Yong XuNingbo Hospital of Integrated Traditional Chinese and Western Medicine, Yinzhou District Second Hospital, Ningbo, Zhejiang, China.ORCID https://orcid.org/0009-0005-8244-9358
Mali ZhuoNingbo Hospital of Integrated Traditional Chinese and Western Medicine, Yinzhou District Second Hospital, Ningbo, Zhejiang, China.ORCID https://orcid.org/0009-0006-5725-2761

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundControlled substances require strict life cycle management, but manual workflows can lead to documentation errors, traceability gaps, and delays in empty-ampoule recovery.

objectiveThis study aimed to construct a quantifiable 3D closed-loop framework integrating technology, process redesign, and organizational accountability and to examine whether implementation was temporally associated with changes in controlled substance process indicators.

methodsA single-center pre-post quality improvement study was conducted in a Healthcare Information and Management Systems Society (HIMSS) Electronic Medical Record Adoption Model (EMRAM) stage 7 hospital. The preintervention period was September 2024 to November 2024, and the postintervention period was December 2024 to February 2025. The intervention combined unique drug identifiers, personal digital assistant (PDA)-based bedside verification, smart medication cabinets, predispensing prescription review rules, batch-number traceability, daily reconciliation, tiered alerts, staff training, and anomaly-handling standard operating procedures (SOPs). Outcomes were prescription dispensing record compliance, batch-number management noncompliance, failure to complete empty-ampoule recovery and electronic documentation within 24 hours, and implementation fidelity. Proportions were reported with Wilson 95% CIs. Between-period absolute differences and 95% CIs were calculated using the Wald normal approximation for independent proportions. Comparisons used the chi-square test or Fisher exact test, as appropriate.

resultsThe analysis included 3264 prescription dispensing records before implementation and 3311 prescription dispensing records after implementation. Prescription dispensing record compliance increased from 94.82% (3095/3264) to 98.7% (3268/3311). Batch-number management noncompliance decreased from 2.4% (24/1000) to 0.6% (6/1000). The rate of failure to complete empty-ampoule recovery and electronic documentation within 24 hours decreased from 5.61% (68/1213) to 0.78% (10/1274). Implementation fidelity indicators generated from operational logs were high across system stability, scanning execution, and anomaly closure.

conclusionsImplementation of the 3D closed-loop framework was temporally associated with improvements in controlled substance process indicators in a digitally mature hospital. The implementation parameters may serve as a reference for local feasibility testing in other wards or institutions, but transferability remains to be evaluated. Multicenter studies are still needed to confirm sustainability and transferability.

Indexed as

Controlled SubstancesElectronic Health RecordsQuality ImprovementHospitalsHumansMedication ErrorsControlled Substancesbarcode administrationbatch traceabilityclosed-loop managementcontrolled substancesdigital health implementationhospital information systemsmedication safety

Identifiers

PMID42789927
PMCPMC13653207

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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.