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.
Background: Dietary 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 capa...
| Publicado en: | Journal of Human Nutrition & Dietetics Vol. 39; no. 1; pp. 1 - 14 |
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| Autores principales: | , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Feb2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=191804350&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 191804350 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09523871 EUQ jtl: Journal of Human Nutrition & Dietetics issn: 09523871 maglogo: Y pubinfo: dt: Feb2026 vid: 39 iid: 1 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 191804350 191804350 191804350 10.1111/jhn.70210 191804350 ppf: 1 ppct: 13 formats: tig: atl: 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. aug: au: Stennett, Emma Belogianni, Katerina Lomer, Miranda affil: Department of Nutrition and Dietetics, Guy's and St Thomas' NHS Foundation Trust, London, UK sug: subj: Irritable Bowel Syndrome Diet Therapy Artificial Intelligence Utilization Dietetics Triage Telehealth Utilization Attitude of Health Personnel Evaluation Dietitians Psychosocial Factors Implementation Science Patient Attitudes Evaluation Questionnaires Evaluation Instrument Construction Automation Human Male Female Adult Middle Age Aged Funding Source Decision Making, Clinical Health Services Accessibility Waiting Lists Patient-Reported Outcomes Semi-Structured Interview Health Care Delivery Colonoscopy Organizational Efficiency Appointments and Schedules Confidence Electronic Health Records Stress, Occupational Prevention and Control Severity of Illness Adaptation, Psychological Focus Groups Food Intake Survey Research Telephone Malnutrition United Kingdom Meals Empathy Patient Participation Quality Assurance Quality of Health Care Clinical Governance Thematic Analysis Hospitals, Urban Academic Medical Centers Referral and Consultation Purposive Sample Feces Analysis Descriptive Statistics Data Analysis Software T-Tests Scales Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Male Female ab: Background: Dietary 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. Methods: The 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. Results: A 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. Conclusions: Virtual 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. Summary: Digital transformation of the triage clinic increased clinical capacity, decreased waiting times from referral to triage and reduced clinician time spent on triage.Experience‐based co‐design of service development was vital to ensure innovation is accessible and acceptable for patients.Patients and staff attitudes towards AI use in healthcare were generally positive but understandably tentative; however, with a robust testing and validation process it could be a highly beneficial tool to improve patient care. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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