Evidence map›Paper›PMID 41938716›Full record

ArticleThe Canadian journal of hospital pharmacy2026

Changes in Medication Errors after Implementation of an Electronic Health Record System in a Canadian Community Hospital.

Lidia Yrigoyen-DaCruz, Antoinette Duronio, Eric Dinunzio

Abstract read
In one paragraph

Article in The Canadian journal of hospital pharmacy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

3 authors.

Lidia Yrigoyen-DaCruz, PharmD, is with the Windsor Regional Hospital, Windsor, Ontario.
Antoinette Duronio, PharmD, MBA, is with the Windsor Regional Hospital, Windsor, Ontario.
Eric Dinunzio, BMath (Honours), is with the University of Windsor, Windsor, Ontario.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The introduction of electronic health records (EHRs) and computerized physician order entry has been associated with a reduction in medication errors due to the safety features of these systems. Objectives: To identify changes in medication errors-specifically related to the types and severity of errors documented and the numbers and types of errors by clinical program-before and after implementation of an EHR system and to identify medication safety initiatives. Methods: This retrospective observational study was conducted at a 2-campus, 500-bed Canadian community hospital before (April 10, 2019, to April 10, 2021) and after (April 11, 2021, to April 11, 2023) implementation of an EHR system. Data were categorized according to event type to ascertain changes in types of errors before and after EHR implementation by clinical program. Data were also collected to determine changes in the severity of errors, as well as changes in categories and changes in frequency of event types (e.g., barcode scanning, medications not ordered, incorrect orders). Results: Totals of 1379 and 1269 medication errors were reported before and after EHR implementation, respectively. The reduction in frequency of errors was statistically significant ( Conclusion: Implementation of the EHR system was associated with a reduction in overall medication incidents at the study institution. Findings from this study allowed the medication safety committee to identify targeted medication safety initiatives focused on barcode scanning (of both medications and patient identification) to reduce the frequency of patients receiving incorrect medications.

Indexed as

electronic health recordelectronic medication systemsmedication administration errorsmedication administration record

Identifiers

PMID41938716
PMCPMC13048767

What OpenQuestion holds

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Registered trials

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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.