Evidence map›Paper›PMID 41637657›Full record

ArticleJournal of human nutrition and dietetics : the official journal of the British Dietetic Association2026

Development and Implementation of Novel Virtual Triage and Exploration of Attitudes Towards the Potential Use of Artificial Intelligence in the Irritable Bowel Syndrome (IBS) Dietetic Pathway.

Emma Stennett, Katerina Belogianni, Miranda Lomer

Abstract read
In one paragraph

Article in Journal of human nutrition and dietetics : the official journal of the British Dietetic Association, 2026. 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

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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

3 authors.

Emma StennettDepartment of Nutrition and Dietetics, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Katerina BelogianniDepartment of Nutritional Sciences, King's College London, London, UK.ORCID https://orcid.org/0000-0002-3634-7861
Miranda LomerDepartment of Nutrition and Dietetics, Guy's and St Thomas' NHS Foundation Trust, London, UK.ORCID https://orcid.org/0000-0002-9369-8115

Funding

Guy's and St Thomas' Charity
6 · The paper itself

Abstract

backgroundDietary management is integral to the irritable bowel syndrome (IBS) pathway. Triage facilitates the decision-making process for the right dietetic intervention; however, telephone triage is time intensive. Digital advances provide an opportunity to target waiting times and clinical capacity. The aim of this work was to develop and implement a novel semi-automation virtual triage, assess its impact in the IBS pathway and to investigate attitudes towards the use of artificial intelligence (AI) in triage and dietetic healthcare.

methodsThe Consolidated Framework for Implementation Research (CFIR) provided a structure to develop and implement virtual triage into the IBS pathway. A digital triage questionnaire was developed using experience-based co-design. The efficacy of virtual triage was compared with telephone triage for waiting times from referral to triage, clinicians' time taken to triage and clinical capacity. Using qualitative interviews, views on AI in virtual triage and the IBS pathway were collected from three patients and two dietitians who had experience of the newly developed virtual triage process. An exploratory survey in seven gastroenterology dietitians was used to assess attitudes and experiences of AI in clinical practice.

resultsA digital questionnaire was developed and embedded into the IBS pathway for virtual triage. Following implementation, 643 patients received virtual triage with 83% completing the digital questionnaire. From telephone triage to virtual triage, mean waiting times reduced from 56.6 days to 17.5 days, mean clinician time to triage decreased from 20 min/patient to 11 min/patient, and clinical capacity increased from 400 to 1000 appointments/year (all p < 0.001). Views on AI in healthcare were mixed, and three key themes emerged: potential benefits; concerns about its use and criteria for application.

conclusionsVirtual triage increases clinical capacity and reduces waiting times without increasing clinician burden. Attitudes towards AI show interest; however, there is a need for validation to determine confidence and acceptability for both clinicians and patients in terms of problem-solving and healthcare efficiency.

Indexed as

Artificial IntelligenceAttitude of Health PersonnelDieteticsIrritable Bowel SyndromeTriageAdultFemaleHumansMaleMiddle AgedNutritionistsSurveys and QuestionnairesTelephoneartificial intelligencedigital triageirritable bowel syndrome

Identifiers

PMID41637657
PMCPMC12872205

What Socratic holds

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LicenceCC BY
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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 Socratic graph.