Trialling a Large Language Model (ChatGPT) in General Practice With the Applied Knowledge Test: Observational Study Demonstrating Opportunities and Limitations in Primary Care
University of Cambridge · Bushey Fields Hospital
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Abstract
Background
Large language models exhibiting human-level performance in specialized tasks are emerging; examples include Generative Pretrained Transformer 3.5, which underlies the processing of ChatGPT. Rigorous trials are required to understand the capabilities of emerging technology, so that innovation can be directed to benefit patients and practitioners.
Objective
Here, we evaluated the strengths and weaknesses of ChatGPT in primary care using the Membership of the Royal College of General Practitioners Applied Knowledge Test (AKT) as a medium.
Citation impact
190
total citations
- FWCI
- 6.89
- Percentile
- 100%
- References
- 30
Citations per year
Authors
7Topics & keywords
Topics
Keywords
- Generative grammar
- Observational study
- Transformer
- Computer science
- Test (biology)
- Knowledge management
- Artificial intelligence
- Medicine
UN Sustainable Development Goals
- Industry, innovation and infrastructure
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