Evidence map›Paper›PMID 39640967›Full record

ArticleDigital health

Measuring the impact of digitisation on NHS nurses' time and morale: A time and motion study.

Joshua Hicks, Claire McAleer, Mutsa Mutowo

Abstract read
In one paragraph

Article in Digital health. 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. Review
  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

3 authors.

Joshua HicksOlympus KeyMed Group Ltd, Southend on Sea, UK.ORCID https://orcid.org/0009-0007-7818-2624
Claire McAleerRoyal Devon University Healthcare NHS Foundation Trust, Exeter, UK.
Mutsa MutowoOlympus Australia, Notting Hill, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Despite the benefits of digital transformation, many healthcare organisations still rely on manual, traditional processes to transfer clinical images and videos to electronic patient records (EPRs), consuming valuable nurse-patient-facing time. Our study aimed to outline tasks performed by nurses to traditionally transfer clinical images and videos to EPRs, assess the impact on nurses' time and efficiency cost, and report on nurse experiences when transitioning to a digitised process. Methods: Observations spanned two one-week periods in the ENT outpatient department of Royal Devon University Healthcare NHS Foundation Trust, using direct observational time and predetermined motion time system analysis to map nurses' tasks pre-and post-implementation of a Medical Video Recorder and Centralised Medical Content Management. Two staff experience surveys were conducted, and data was aggregated to evaluate the impact of digitisation. Results: Nurses traditionally followed two processes to transfer clinical images and video to EPRs. Digitisation saved 43 seconds per endoscopy (a 10% efficiency gain) compared to Process 1, in which nurses print, attach, scan, and digitise images off-site to EPRs, and 3 minutes and 8 seconds (a 33% efficiency gain) compared to Process 2, where urgent content is recorded on an iPad and transferred to EPRs. Digitising could save nurses 26 working days annually by reducing non-patient-facing tasks in the ENT department, leading to an annual time efficiency cost-saving of £6780. Furthermore, 75% of nurses reported significantly improved morale, 63% strongly agreed that digitisation improved confidence in the accuracy of patient details, and all paper processes were eliminated. Conclusion: Our findings highlight the inefficiency of traditional methods in transferring images and videos to EPRs. Digital transformation could enhance nursing efficiency and morale, improving care quality. Future studies should evaluate the effectiveness of Medical Video Recorders and Centralised Medical Content Management in other departments.

Indexed as

connected careDigitaldigital healthhealthimagingtechnology

Identifiers

PMID39640967
PMCPMC11618907

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.