Evidence map›Paper›PMID 39606941›Full record

ArticleInternal medicine journal2025

Copying in medical documentation: developing an evidence-based approach.

James Tsimiklis, Sarah Howson, Joshua Kovoor, Sheryn Tan, Brandon Stretton, Aashray Gupta, Shaun Evans, Andrew Booth, Shrirajh Satheakeerthy, Lauren Lim and 5 more

Abstract read
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 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

15 authors.

James TsimiklisLyell McEwin Hospital, Adelaide, South Australia, Australia.ORCID 0009-0000-0019-9732
Sarah HowsonRoyal Adelaide Hospital, Adelaide, South Australia, Australia.
Joshua KovoorBallarat Base Hospital, Ballarat, Victoria, Australia.
Sheryn TanLyell McEwin Hospital, Adelaide, South Australia, Australia.ORCID 0000-0002-8310-0853
Brandon StrettonUniversity of Adelaide, Adelaide, South Australia, Australia.
Aashray GuptaRoyal Adelaide Hospital, Adelaide, South Australia, Australia.
Shaun EvansUniversity of Adelaide, Adelaide, South Australia, Australia.
Andrew BoothRoyal Adelaide Hospital, Adelaide, South Australia, Australia.
Shrirajh SatheakeerthyRoyal Adelaide Hospital, Adelaide, South Australia, Australia.
Lauren LimLyell McEwin Hospital, Adelaide, South Australia, Australia.ORCID 0000-0002-0495-5774
Jessica StranksLyell McEwin Hospital, Adelaide, South Australia, Australia.
Samuel GluckLyell McEwin Hospital, Adelaide, South Australia, Australia.
John MaddisonLyell McEwin Hospital, Adelaide, South Australia, Australia.
Toby GilbertLyell McEwin Hospital, Adelaide, South Australia, Australia.ORCID 0000-0002-3431-9672
Stephen BacchiLyell McEwin Hospital, Adelaide, South Australia, Australia.ORCID 0000-0001-5130-8628

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElectronic medical records (EMRs) provide multiple efficiencies in communication to clinicians. The ability to copy and paste text in an EMR can be useful; however, it also conveys a risk of inaccurate documentation. Studies in international settings have described such overuse of copying to result in 'note bloat', with the dilution of relevant clinical information and potential clinical detriment.

aimTo determine the frequency of erroneous copying, characterise the component of notes in which this occurs and determine the performance of similarity metrics in the prediction of notes likely to have erroneous copying.

methodsA cross-sectional evaluation of all ward round notes over a 48-h period for all long-stay (>48 h) medical services, except the Acute Medical Unit, at the Lyell McEwin Hospital, a 257-bed tertiary hospital in South Australia. Four similarity metrics were evaluated: longest-sequential series of unchanged characters, similarity score (Difflib SequenceMatcher), Levenshtein distance and the Jaccard index.

resultsOne hundred twenty-eight patients were included. The number of patients who had a ward round note on two consecutive days was 97 out of 128 (75.8%). Erroneous copying was found in 8.3% of ward round notes. All (eight out of eight, 100%) of these instances of erroneous copying were in the 'issues list'. A threshold of >850 unchanged sequential characters, when compared with the ward round note the preceding day, demonstrated reasonable performance in the prediction of erroneous copying.

conclusionsErroneous copying may occur in up to 8.3% of ward round notes in a variety of medical services. Automated strategies to help address this issue should be explored.

Indexed as

DocumentationElectronic Health RecordsCross-Sectional StudiesHumansSouth Australiadetectiondocumentation of informationelectronic health recordsimprovementstandards

Identifiers

PMID39606941
PMCPMC11736092

What OpenQuestion holds

Textmetadata
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.