Evidence map›Paper›PMID 42840262›Full record

ReviewExploratory research in clinical and social pharmacy2026

Electronic prescribing and patient safety: a rigour-stratified systematic review of medication error, adverse drug events, workflow, and communication.

Sai Bhavana, Sanjay Patil, R J Varshini, Edlin Glane Mathias, Rajesh Kamath

Abstract readReview
In one paragraph

Review in Exploratory research in clinical and social 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
–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

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

5 authors.

Sai BhavanaDepartment of Healthcare and Hospital Management, Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, India.
Sanjay PatilDepartment of Healthcare and Hospital Management, Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, India.
R J VarshiniDepartment of Healthcare and Hospital Management, Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, India.
Edlin Glane MathiasDepartment of Health Technology and Informatics, Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, India.
Rajesh KamathDepartment of Healthcare and Hospital Management, Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Electronic prescribing is promoted to improve medication safety. Whether its benefit differs between process failure and patient harm is rarely asked. Objective: To synthesise the evidence on electronic prescribing and medication error, adverse drug events, workflow and communication against the designs able to establish each. Methods: We searched PubMed, Scopus, Web of Science, CINAHL, Embase and ProQuest (1994 to 2024, English), reporting to PRISMA 2020 and PRISMA-S. Risk of bias was assessed at domain level with design-matched tools. Non-poolable metrics precluded meta-analysis; findings were synthesised following SWiM. Results: Forty studies were included, 31 quasi-experimental. None of the 31 was at low risk of bias; 27 moderate, four serious. Twenty-nine reported medication error, most a reduction of 20% to 98%. Four could be read against background change: the reduction held in three, and in one exceeded the crude difference, errors having risen beforehand. Three others had a concurrent comparison only. The remaining 22 measured no trend, so magnitude is uninterpretable. No design able to test an effect on harm showed one. Eight studies documented error classes introduced by the system, two quantifying them at 68% and 35% of residual errors. Workflow effort was redistributed rather than reduced, and communication disrupted short-term, nurses most affected. Conclusions: Electronic prescribing reduces measured medication errors; the reduction holds in three of the four studies able to test it. An effect on patient harm has not been demonstrated. Certainty was very low for both quantitative outcomes, low for workflow, moderate for communication.

Indexed as

Adverse drug eventsClinical decision supportComputerised provider order entryElectronic prescribingMedication errorsPatient safetySystematic review

Identifiers

PMID42840262
PMCPMC13639155

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.