Evidence map›Paper›PMID 39814768›Full record

ArticleScientific reports2025

A simulation study to quantitatively assess the performance of electronic prescribing systems in English NHS Hospital Trusts.

Stephanie Klein, Athanasios Tsanas, Jamie Coleman, Rebecca Osselton, Jude Heed, Ann Slee, Neil Watson

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Stephanie Klein *Pharmacy Department, Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, NE1 4LP, England, UK. Stephanie.klein@nhs.net.
Athanasios Tsanas *Usher Institute, University of Edinburgh, Edinburgh, EH16 4UX, Scotland, UK.
Jamie ColemanInstitute of Clinical Sciences, University of Birmingham Medical School, Birmingham, B15 2SG, England, UK.
Rebecca OsseltonResearch Software Engineering, University of Newcastle upon Tyne, Newcastle, NE4 5TG, England, UK.
Jude HeedSchool of Pharmacy, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, NE1 7RU, England, UK.
Ann SleeUsher Institute, University of Edinburgh, Edinburgh, EH16 4UX, Scotland, UK.
Neil WatsonPharmacy Department, Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, NE1 4LP, England, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prescribing errors are a source of preventable harm in healthcare, which may be mitigated using Electronic Prescribing (EP) systems. Anyone who routinely prescribes medication could benefit from digitally assisted automated checks to identify whether a prescription should potentially not be allowed (e.g. drug allergy). National Health Service (NHS) Trusts have implemented a range of EP systems; however, their performance has not hitherto been evaluated. We developed the web-based Electronic Prescribing Risk and Safety Evaluation (ePRaSE) tool, which comprises a bank of prescribing scenarios to evaluate the performance of EP systems. We solicited ePRaSE testing: 68 pharmacists from across 45 English NHS Trusts, utilising 13 different EP systems volunteered for the study. We found considerable variability in mitigation performance (systems correctly identifying risk of error when prescribing) across both NHS Trusts and EP systems. Moreover, we found that mitigation performance varied considerably across NHS Trusts using the same EP system, strongly suggesting there are opportunities to optimise performance within systems. The ePRaSE tool is effective in identifying variability in risk management between NHS Trusts and EP systems. Wider use of this tool may facilitate improvements in EP system configurations, thus minimising potential harm from prescribing errors.

Indexed as

Electronic PrescribingMedication ErrorsComputer SimulationEnglandHospitalsHumansState MedicineClinicalClinical pharmacy information systemsDecision support systemsInformaticsMedical order entry systemsSafety management

Identifiers

PMID39814768
PMCPMC11736027

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.