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Contact Information:

Dr Benjamin Brown
+44 (0)161 306 6000
benjamin.brown@manchester.ac.uk


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Be Part of Research - Trial Details - AI triage in general practice
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AI triage in general practice

Recruiting

Open to: All Genders

Age: Mixed

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Medical Conditions

Artificial intelligence triage in online consultations to reduce delays in urgent primary care

This information is provided directly by researchers, and we recognise that it isn't always easy to understand. We are working with researchers to improve the accessibility of this information. In some summaries, you may come across links to external websites. These websites will have more information to help you better understand the study.


Patients can currently ask for help from their GP practice at any time by completing an online consultation form on the internet. This goes directly to the GP practice and patients do not have to wait in a queue. However, the system cannot identify and prioritise those patients needing urgent help. This may cause delays in patient care. A possible solution is for the online consultation system to automatically identify urgent and emergency requests as soon as they are submitted by using an artificial intelligence (AI) add-on feature called AI Triage. The research team want to find out if computers trained to identify urgent and emergency requests using AI triage are accurate and can reduce these delays. The study will also find out if AI triage works fairly for a diverse range of patients, whether it affects staff workload, whether it is good value for money and whether there are any disadvantages. This study aims to ensure that patients who require urgent appointments and treatment from GP surgeries are identified quickly and so avoid harm as a result of delays in care.

Start dates may differ between countries and research sites. The research team are responsible for keeping the information up-to-date.  

The recruitment start and end dates are as follows:

29 Feb 2024 01 Mar 2025

The study is testing whether computers trained to identify urgent and emergency requests using AI can reduce delays in completing these requests and what factors such as the organisation, patient characteristics and other resources can influence detection and decision making. It will study the Online Consultation system ‘Patchs’, which has already been used by NHS GP practices in diverse communities in England for at least 12 months. 20 control practices will continue to use the existing Patchs system and 20 intervention practices will be given the add-on AI Triage feature. The time it takes to complete an urgent or emergency request will be compared in the 20 practices that do not have the AI triage feature with the 20 practices that do have it, before and after the AI triage feature was introduced.


A minimum of 20 GP practices across England will test the AI Triage intervention and another 20 GP practices will continue to use Patchs without AI triage. These 40 practices are expected to receive at least 2928 urgent and emergency (combined) online consultation requests in the 12-month intervention period, from patients of all sexes, ages, and with any clinical condition.

You can take part if:



You may not be able to take part if:


Not meeting the participant inclusion criteria


Below are the locations for where you can take part in the trial. Please note that not all sites may be open.

Benefits: If the AI triage feature reduces care delays, patients who need urgent and emergency help may receive it sooner.
Risks: This study uses routinely collected data to evaluate a UKCA-marked medical device already used in routine clinical practice. Consequently, risks for participants are minimal. Security arrangements are in place to protect this data.

Dr Benjamin Brown
+44 (0)161 306 6000
benjamin.brown@manchester.ac.uk



The study is sponsored by University of Manchester and funded by National Institute for Health and Care Research.



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Read full details for Trial ID: ISRCTN10744072

Or CPMS 60999

Last updated 07 November 2024

This page is to help you find out about a research study and if you may be able to take part

You can print or share the study information with your GP/healthcare provider or contact the research team directly.   

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