Evidence map›Paper›PMID 28515180›Full record

ArticleBMJ open2017

Distribution and extent of electronic medical record utilisation in eye units across the United Kingdom: a cross-sectional study of the current landscape.

Shin Bin Lim, Humma Shahid

Abstract read
In one paragraph

Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

12 citing papers in PubMed.

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  4. [Employee survey after introduction of the FIDUS electronic patient file at the Saarland University Eye Hospital].Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft · 2022
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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

2 authors.

Shin Bin LimUniversity of Cambridge, Cambridge, UK.
Humma ShahidDepartment of Ophthalmology, Addenbrooke's Hospital, Cambridge, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesOphthalmology units across the UK vary widely in their adoption of electronic medical records (EMR). There is a lack of evidence to show the extent and progress of EMR adoption. The aim of this study was to capture a snapshot of the current landscape of EMR use, as a baseline for comparison in future studies.

settingAn electronic survey questionnaire was sent to all NHS ophthalmology Units in the UK.

participantsA total of 104 National Health Service (NHS) ophthalmology units participated in the survey, which was carried out over 6 months from December 2013 to June 2014. PRIMARY AND SECONDARY OUTCOME MEASURES: Respondents were asked about technology usage pertaining to specific processes in the clinic workflow. This allowed us to determine the extent of EMR usage and details about current use or planned implementation by each unit.

results77.6% (n=104) of NHS ophthalmology units responded. 45.3% (n=48) of units were currently using an EMR and a further 26.4% (n=28) of units plan to implement EMR within 2 years. 70.8% of units with a current EMR system use Medisoft. EMR is used by all clinicians in 37.5% and by all subspecialties offered at the unit in 27.0%. In 56.3%, new clinical notes are entered into EMR only by clinicians. All imaging devices are networked to EMR in 28.3%. In 46.7%, EMR is accessible by other specialties within the same hospital. 71.1% would recommend EMR to a colleague.

conclusionsEMR has the potential to address current limitations of patient information transfer and sharing in ophthalmology. It is pleasing to see a significant proportion of units already engaging with EMR or having plans to do so in the near future. However, differing EMR systems and lack of remote access mean further optimisation of these record systems are needed to allow data transfer between units.

Indexed as

Cross-Sectional StudiesDiagnostic ImagingElectronic Health RecordsHumansNational Health ProgramsOphthalmologySurveys and QuestionnairesUnited Kingdomelectronic health recordselectronic medical recordsinformation technologypatient records

Identifiers

PMID28515180
PMCPMC5541331

What OpenQuestion holds

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LicenceCC BY-NC
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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.