Evidence map›Paper›PMID 38729772›Full record

ArticleBMJ health & care informatics2024

Adoption by clinicians of electronic order communications in NHS secondary care: a descriptive account.

Jamie J Coleman, Jolene Atia, Felicity Evison, Lydia Wilson, Suzy Gallier, Richard Sames, Andrew Capewell, Richard Copley, Helen Gyves, Simon Ball and 1 more

Abstract read
In one paragraph

Article in BMJ health & care informatics, 2024. 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

11 authors.

Jamie J ColemanUniversity Hospitals Birmingham NHS Foundation Trust, Birmingham, UK Jamie.Coleman@uhb.nhs.uk.
Jolene AtiaUniversity Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Felicity EvisonData Science Team, Research Development and Innovation, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.ORCID http://orcid.org/0000-0002-9378-7548
Lydia WilsonBarts Health NHS Trust, London, UK.
Suzy GallierPIONEER Health Data Research Hub, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.ORCID http://orcid.org/0000-0003-1026-4125
Richard SamesUniversity Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Andrew CapewellUniversity Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Richard CopleyUniversity Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Helen GyvesUniversity Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Simon BallUniversity Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Tanya PankhurstDigital Healthcare and Department of Renal Medicine, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDue to the rapid advancement in information technology, changes to communication modalities are increasingly implemented in healthcare. One such modality is Computerised Provider Order Entry (CPOE) systems which replace paper, verbal or telephone orders with electronic booking of requests. We aimed to understand the uptake, and user acceptability, of CPOE in a large National Health Service hospital system.

methodsThis retrospective single-centre study investigates the longitudinal uptake of communications through the Prescribing, Information and Communication System (PICS). The development and configuration of PICS are led by the doctors, nurses and allied health professionals that use it and requests for CPOE driven by clinical need have been described.Records of every request (imaging, specialty review, procedure, laboratory) made through PICS were collected between October 2008 and July 2019 and resulting counts were presented. An estimate of the proportion of completed requests made through the system has been provided for three example requests. User surveys were completed.

resultsIn the first 6 months of implementation, a total of 832 new request types (imaging types and specialty referrals) were added to the system. Subsequently, an average of 6.6 new request types were added monthly. In total, 8 035 132 orders were requested through PICS. In three example request types (imaging, endoscopy and full blood count), increases in the proportion of requests being made via PICS were seen. User feedback at 6 months reported improved communications using the electronic system.

conclusionCPOE was popular, rapidly adopted and diversified across specialties encompassing wide-ranging requests.

Indexed as

Medical Order Entry SystemsSecondary Health CareState MedicineHumansRetrospective StudiesUnited KingdomElectronic Health RecordsInformation TechnologyMedical Order Entry Systems

Identifiers

PMID38729772
PMCPMC11097811

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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.