Actively Recruiting
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
Eligibility Criteria
You may qualify if you...
- GP practices using the Patchs system
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
Complete this quick 3-step screening to check your eligibility
Your Study Journey
Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
1 visit (in-person or remote)
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
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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