Evidence map›Paper›PMID 23664152›Full record

ArticleAmerican journal of ophthalmology2013

Accuracy and speed of electronic health record versus paper-based ophthalmic documentation strategies.

Patrick Chan, Preeti J Thyparampil, Michael F Chiang

Abstract readComparative Study
In one paragraph

Article in American journal of ophthalmology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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  17. [Development of an ophthalmological clinical information system for inpatient eye clinics].Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft · 2015
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  18. Article
  19. Electronic health record impact on productivity and efficiency in an academic pediatric ophthalmology practice.Journal of AAPOS : the official publication of the American Association for Pediatric Ophthalmology and Strabismus · 2014
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  20. 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

3 authors.

Patrick ChanDepartment of Ophthalmology, Harkness Eye Institute, Columbia University College of Physicians and Surgeons, New York, NY, USA.
Preeti J Thyparampil
Michael F Chiang

Funding

Telemedical Diagnosis of Retinopathy of PrematurityK23EY013972 · NEI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CHIANG, MICHAEL · 2003 to 2007
$1.2M
NEI NIH HHS K23 EY013972
6 · The paper itself

Abstract

purposeTo compare accuracy and speed of keyboard and mouse electronic health record (EHR) documentation strategies with those of a paper documentation strategy.

designProspective cohort study.

methodsThree documentation strategies were developed: (1) keyboard EHR, (2) mouse EHR, and (3) paper. Ophthalmology trainees recruited for the study were presented with 5 clinical cases and documented findings using each strategy. For each case-strategy pair, findings and documentation time were recorded. Accuracy of each strategy was calculated based on sensitivity (fraction of findings in actual case that were documented by subject) and positive ratio (fraction of findings identified by subject that were present in the actual case).

resultsTwenty subjects were enrolled. A total of 258 findings were identified in the 5 cases, resulting in 300 case-strategy pairs and 77 400 possible total findings documented. Sensitivity was 89.1% for the keyboard EHR, 87.2% for mouse EHR, and 88.6% for the paper strategy (no statistically significant differences). The positive ratio was 99.4% for the keyboard EHR, 98.9% for mouse EHR, and 99.9% for the paper strategy (P < .001 for mouse EHR vs paper; no significant differences between other pairs). Mean ± standard deviation documentation speed was significantly slower for the keyboard (2.4 ± 1.1 seconds/finding) and mouse (2.2 ± 0.7 seconds/finding) EHR compared with the paper strategy (2.0 ± 0.8 seconds/finding). Documentation speed of the mouse EHR strategy worsened with repetition.

conclusionsNo documentation strategy was perfectly accurate in this study. Documentation speed for both EHR strategies was slower than with paper. Further studies involving total physician time requirements for ophthalmic EHRs are required.

Indexed as

Computer PeripheralsPaperCohort StudiesDocumentationElectronic Health RecordsEye DiseasesHumansInternship and ResidencyMedical InformaticsOphthalmologyPilot ProjectsProspective StudiesReproducibility of ResultsTime Factors

Identifiers

PMID23664152
PMCPMC12317684

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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.