Evidence map›Paper›PMID 36649943›Full record

ArticleBMJ open quality2023

Benefits of electronic charts in intensive care and during a world health pandemic: advantages of the technology age.

Tanya Pankhurst, Laurie Lucas, Steve Ryan, Chris Ragdale, Helen Gyves, Louise Denner, Ian Young, Laura Rathbone, Anwar Shah, Deborah McKee and 8 more

Abstract read
In one paragraph

Article in BMJ open quality, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

18 authors.

Tanya PankhurstRenal Medicine, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK tanya.pankhurst@uhb.nhs.uk.
Laurie LucasIT Services, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Steve RyanIT Services, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Chris RagdaleIT Services, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Helen GyvesIT Services, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Louise DennerUniversity Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Ian YoungIT Services, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Laura RathboneIT Services, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Anwar ShahAnaesthetics, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Deborah McKeeIT Services, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Jamie J ColemanUniversity Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Felicity EvisonHealth Informatics, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Jolene AtiaHealth Informatics, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.ORCID 0000-0001-7569-2599
David RosserUniversity Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Mark GarrickUniversity Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Richard BakerFinance, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Suzy GallierHealth Informatics, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.ORCID 0000-0003-1026-4125
Simon BallUniversity Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.ORCID 0000-0001-7410-5268

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AIMS AND

objectivesThis study sets out to describe benefits from the implementation of electronic observation charting in intensive care units (ICU). This was an extension to the existing hospital wide digital health system. We evaluated error reduction, time-savings and the costs associated with conversion from paper to digital records. The world health emergency of COVID-19 placed extraordinary strain on ICU and staff opinion was evaluated to test how well the electronic system performed.

methodsA clinically led project group working directly with programmers developed an electronic patient record for intensive care. Data error rates, time to add data and to make calculations were studied before and after the introduction of electronic charts. User feedback was sought pre and post go-live (during the COVID-19 pandemic) and financial implications were calculated by the hospital finance teams.

resultsError rates equating to 219 000/year were avoided by conversion to electronic charts. Time saved was the equivalent of a nursing shift each day. Recurrent cost savings per year were estimated to be £257k. Staff were overwhelmingly positive about electronic charts in ICU, even during a health pandemic and despite redeployment into intensive care where they were using the electronic charts for the first time. DISCUSSION: Electronic ICU charts have been successfully introduced into our institution with benefits in terms of patient safety through error reduction and improved care through release of nursing time. Costs have been reduced. Staff feel supported by the digital system and report it to be helpful even during redeployment and in the unfamiliar environment of intensive care.

Indexed as

COVID-19PandemicsCritical CareGlobal HealthHumansIntensive Care UnitsCritical careElectronic Health RecordsEvaluation methodology

Identifiers

PMID36649943
PMCPMC9853220

What OpenQuestion holds

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LicenceCC BY-NC
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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.