Evidence map›Paper›PMID 40192274›Full record

ArticleInternal medicine journal2025

Vulnerability of a New Zealand hospital computerised provider order entry system to prescribing error: a comparative study with other systems.

Milan Sundermann, Lorna Pairman, Olivia Clendon, Dali Fan, Matthew Doogue, Paul K L Chin

Abstract readComparative Study
In one paragraph

Article in Internal medicine journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. A 21-year Comparative Study of Prescriptions of Benzodiazepines and Selective Serotonin Reuptake Inhibitors and Related Drugs in a Japanese University Hospital.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2026
    Article
  2. Article
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

6 authors.

Milan Sundermann *Department of Medicine, University of Otago, Christchurch, New Zealand.ORCID 0000-0002-5771-5264
Lorna Pairman *Department of Medicine, University of Otago, Christchurch, New Zealand.
Olivia ClendonHealth New Zealand, Te Whatu Ora - Waitaha Canterbury, Christchurch, New Zealand.
Dali FanHealth New Zealand, Te Whatu Ora - Waitaha Canterbury, Christchurch, New Zealand.
Matthew DoogueDepartment of Medicine, University of Otago, Christchurch, New Zealand.
Paul K L ChinDepartment of Medicine, University of Otago, Christchurch, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe computerised provider order entry (CPOE) system MedChart is going to be the national CPOE system in New Zealand's public hospitals.

aimsWe tested the vulnerability of our health region configuration of MedChart and its clinical decision support (CDS) to prescription ordering errors and compared it to other CPOE systems. We also tested whether ordering workflow influenced system vulnerability.

methodsTen testers completed 16 published scenarios simulating ordering errors in a training environment of MedChart. The difficulty of completing each scenario was recorded using a five-point Likert scale (1 = easily, 5 = impossible). Difficulty scores were summarised for each scenario. Sub-group analysis was conducted based on whether testers ordered sequentially or concurrently for scenarios involving two prescriptions.

resultsMedChart best protected (difficulty score 5) against omission and mixed frequency errors. Worst protections (difficulty score 1) were against drug-drug interaction, duplicate ordering error, wrong frequency for medicine form error, and under dosing error scenarios. Compared to other CPOE systems, MedChart provided better protection against more than half of the scenarios, but similar vulnerabilities were identified. Sequential versus concurrent ordering workflows significantly altered system protections for only one test scenario involving duplicate enoxaparin orders (median 3.0 vs 1.0, P = 0.004).

conclusionsThese findings highlight areas for improvement in MedChart system configuration. Different ordering workflows require consideration when implementing CDS. Publication of CPOE testing using standardised tools could facilitate comparison of safety performance between institutions.

Indexed as

Decision Support Systems, ClinicalDrug PrescriptionsMedical Order Entry SystemsMedication ErrorsHumansNew Zealandclinical decision supportcomputerised provider order entrymedication safetyprescribing errorvulnerability testing

Identifiers

PMID40192274
PMCPMC12155088

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.