Actively Recruiting

Phase Not Applicable
All Genders
Healthy Volunteers
ID07237919

Improving the Accuracy of Artificial Intelligence Triage in Primary Care

Led by University of Manchester · Updated on 2025-11-20

226821

Participants Needed

1

Research Sites

13 weeks

Total Duration

On this page

Sponsors

U

University of Manchester

Lead Sponsor

U

University of Cambridge

Collaborating Sponsor

AI-Summary

What this Trial Is About

Researchers are evaluating the use of Artificial Intelligence (AI) in triaging patients who contact General Practitioner (GP) practices in England. The study focuses on improving the accuracy and fairness of an AI triage system called Patchs, which assists in determining the urgency and type of care patients need. The research aims to identify challenges in current triage methods and develop enhanced AI models that can better replicate clinicians' decisions across various regions and patient backgrounds. The study collects anonymised data from GP practices using the Patchs system, both with AI triage enabled and disabled. It includes four main phases: analyzing current triage practices without AI, developing improved AI models using historic data, testing these models in the background without influencing care, and finally implementing the updated AI in real clinical settings. The AI triage suggests urgency levels and care pathways, but final decisions remain with human staff and patients. Participants in this study are GP practices using the Patchs system. Researchers analyze data from online consultations, comparing AI triage decisions with those made by clinical staff to assess accuracy and fairness. The main outcome measured is the F1 score, indicating how well the AI triage matches clinical decisions, tracked over the anticipated four-year study period. The study also monitors how often staff and patients agree with the AI suggestions to ensure safety and fairness.

CONDITIONS

Brief Title

Improving the Accuracy of Artificial Intelligence Triage in Primary Care

Who Can Participate

All Genders
Healthy Volunteers

Eligibility Criteria

Eligible

You may qualify if you...

  • GP practices using the Patchs system
Not Eligible

You will not qualify if you...

History of severe allergic reactions to study medication Currently pregnant or breastfeeding Recent participation in another clinical trial within the last 30 days Presence of uncontrolled medical conditions that could affect safety

AI-Screening

AI-Powered Screening

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Your Study Journey

Screening

Duration - 2 to 4 weeks

Participants are screened for eligibility to participate in the trial.

1 visit (in-person or remote)

Prospective Evaluation

Duration - Up to 4 years

Participants who use the Patchs online consultation system undergo triage either with AI assistance or manual triage to assess AI triage accuracy and impact in real clinical practice.

Ongoing use of the online consultation system during the study period

Trial Site Locations

Total: 1 location

1

NHS GP practices

London, United Kingdom

Actively Recruiting

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Research Team

B

Benjamin C Brown, MRCGP, PhD

How is the study designed?

Study Type

INTERVENTIONAL

Masking

TRIPLE

Allocation

NON_RANDOMIZED

Model

PARALLEL

Primary Purpose

HEALTH_SERVICES_RESEARCH

Number of Arms

2

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