Evidence map›Paper›PMID 35089204›Full record

ArticleMedicine2022

Restricted use of copy and paste in electronic health records potentially improves healthcare quality.

Chun-Gu Cheng, Ding-Chung Wu, Jui-Cheng Lu, Chia-Peng Yu, Hong-Ling Lin, Mei-Chuen Wang, Chun-An Cheng

Registry-linked trialAbstract read
In one paragraph

Article in Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07302906 (The SOAR Trial), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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.

NCT07302906 narecruitingnot on this mapstarted 2025, after this paper: background citation

The SOAR Trial (Scribe Optimization for Ambulatory Records): Ambient Artificial Intelligence Scribe With Voa Health for Generating Medical Documentation From Outpatient Visit Audio - A Randomized Controlled Trial

TypeinterventionalSponsorPedro Angelo Basei de PaulaRan2025 to 2026Enrolled300ConditionsBurnout, Professionals, Medical Records Systems, Computerized, Physician-Patient Relations, Ambulatory CareArmsAmbient AI scribe for clinical documentation (Voa Health), Usual documentation without AI scribe (standard care)
3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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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.

Chun-Gu ChengDepartment of Emergency Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
Ding-Chung WuDepartment of Medical Records, Tri-Service General Hospital, Taipei, Taiwan.
Jui-Cheng LuDepartment of Medical Records, Tri-Service General Hospital, Taipei, Taiwan.
Chia-Peng YuDepartment of Medical Records, Tri-Service General Hospital, Taipei, Taiwan.
Hong-Ling LinDepartment of Medical Records, Tri-Service General Hospital, Taipei, Taiwan.
Mei-Chuen WangDepartment of Medical Records, Tri-Service General Hospital, Taipei, Taiwan.
Chun-An ChengDepartment of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractThe copy-and-paste feature is commonly used for clinical documentation, and a policy is needed to reduce overdocumentation. We aimed to determine if the restricted use of copy and paste by doctors could improve inpatient healthcare quality.Clinical documentation in an inpatient dataset compiled from 2016 to 2018 was used. Copied-and-pasted text was detected in word templates using natural language programming with a threshold of 70%. The prevalence of copying and pasting after the policy introduction was accessed by segmented regression for trend analysis. The rate of readmission for the same disease within 14 days was assessed to evaluate inpatient healthcare quality, and the completion of discharge summary notes within 3 days was assessed to determine the timeliness of note completion. The relationships between these factors were used cross-correlation to detect lag effect. Poisson regression was performed to identify the relative effect of the copy and paste restriction policy on the 14-day readmission rate or the discharge note completion rate within 3 days.The prevalence of copying and pasting initially decreased, then increased, and then flatly decreased. The cross-correlation results showed a significant correlation between the prevalence of copied-and-pasted text and the 14-day readmission rate (P < .001) and a relative risk of 1.105 (P < .005), with a one-month lag. The discharge note completion rate initially decreased and not affected long term after restriction policy.Appropriate policies to restrict the use of copying and pasting can lead to improvements in inpatient healthcare quality. Prospective research with cost analysis is needed.

Indexed as

DocumentationElectronic Health RecordsQuality of Health CareHumansMedical Records Systems, ComputerizedPhysiciansProspective Studies

Identifiers

PMID35089204
PMCPMC8797538

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Registered trials

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.