Email: benjamin.brown@manchester.ac.uk

Research profile and key clinical specialties

I am a GP and health informatician. I lead research to develop and evaluate digital interventions that use artificial intelligence (AI) and machine learning (ML) to solve important problems in, and improve the delivery of, health care. Examples of my current projects include:

• An Online Consultation system that analyses patient-reported symptoms as unstructured free-text to automate triage and workflow
• Clinical decision support systems that analyse free-text data from electronic health records
• Software that reads patient letters to reduce administrative burden on clinicians

Two key publications

• N. Peek, W.T. Gude, R.N. Keers, R. Williams, E. Kontopantelis, M. Jeffries, D. Phipps, B. Brown, et al., Evaluation of a pharmacist-led actionable audit and feedback intervention for improving medication safety in UK primary care: An interrupted time series analysis, PLOS Med. 17 (2020) e1003286. doi:10.1371/journal.pmed.1003286.
• N. Ivers, B. Brown, J. Grimshaw, Clinical Performance Feedback and Decision Support, in: Improv. Patient Care, Wiley, 2020: pp. 235–251. doi:10.1002/9781119488620.ch13. 

Possible PhD projects

• Development and evaluation of AI to detect back pain in online consultations.
• Assessment of bias in AI models used in online consultations.

More information

I have held personal Wellcome Trust doctoral and post-doctoral fellowships, and act as a reviewer for their fellowship applications. I work with the Fellowship Academy at Manchester to support prospective fellowship applicants.

Keywords: pharmacist-led, informatician, artificial intelligence, AI, machine learning, analyses, software, Benjamin, Brown, Manchester

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