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

TL;DR

A new virtual triage system for IBS patients was developed, reducing waiting times and clinician workload, while attitudes toward AI in healthcare were generally positive but cautious.

Contribution

A novel semi-automated virtual triage system was developed and implemented in the IBS dietetic pathway, with evaluation of its impact and attitudes toward AI use.

Findings

Virtual triage reduced waiting times from 56.6 to 17.5 days and increased clinical capacity from 400 to 1000 appointments/year.

Clinician time per triage decreased from 20 to 11 minutes per patient.

Attitudes toward AI were mixed, with themes of potential benefits, concerns, and criteria for application.

Abstract

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.

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.

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.

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.

Digital triage and attitudes towards potential use of artificial intelligence in the dietetic IBS pathway

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.

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.

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