Evidence map›Paper›PMID 37080612›Full record

ArticleBMJ health & care informatics2023

Moving from non-emergency bleeps and long-range pagers to a hospital-wide, EHR-integrated secure messaging system: an implementer report.

Ari Ercole, Claire Tolliday, William Gelson, James H F Rudd, Ewen Cameron, Afzal Chaudhry, Fiona Hamer, Justin Davies

Abstract read
In one paragraph

Article in BMJ health & care informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

8 authors.

Ari ErcoleCambridge University Hospitals NHS Foundation Trust, Cambridge, UK ae105@cam.ac.uk.ORCID http://orcid.org/0000-0001-8350-8093
Claire TollidayCambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
William GelsonCambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
James H F RuddCambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Ewen CameronCambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Afzal ChaudhryCambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Fiona HamerCambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Justin DaviesCambridge University Hospitals NHS Foundation Trust, Cambridge, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionObsolete bleep/long-range pager equipment remains firmly embedded in the National Health Service (NHS).

objectiveTo introduce a secure, chart-integrated messaging system (Epic Secure Chat) in a large NHS tertiary referral centre to replace non-emergency bleeps/long-range pagers.

methodsThe system was socialised in the months before go-live. Operational readiness was overseen by an implementation group with stakeholder engagement. Cutover was accompanied by a week of Secure Chat and bleeps running in parallel.

resultsEngagement due to socialisation was high with usage stabilising approximately 3 months after go-live. Contact centre internal call activity fell significantly after go-live. No significant patient safety concerns were reported. DISCUSSION: Uptake was excellent with substantial utilisation well before cutover indirectly supporting high levels of engagement. The majority of those who previously carried bleeps were content to use personal devices for messaging because of user convenience after reassurance about privacy.

conclusionAn integrated secure messaging system can replace non-emergency bleeps with beneficial impact on service.

Indexed as

Patient SafetyState MedicineHumansTertiary Care CentersElectronic Health RecordsInformation Technology

Identifiers

PMID37080612
PMCPMC10580273

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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.