Integrated Medical Decision Support

Integrated decision support for breast oncology 

(Ian Jarman, Karen Murphy, P.J.G. Lisboa, Taleb-Bendiab, David England, Claude Ghaoui, Ric Swindell, Sue O’Reilly)

This project aims to investigate disciplined approaches to modelling evolving users’ cross-cutting decision concerns to enable high-assurance breast cancer clinician’s decision activities in specialist referral centres, and to better inform patients of choice of treatment following surgery.
Our specific objectives are: 

1.      To understand and characterise patients' and clinicians' cross-cutting concerns and their impact on decision and information provision within specialist breast cancer referral centres.

2.      To investigate how to augment clinicians' decision validation using a triangulation of evidences from statistical modelling, knowledge-based reasoning models and visual self-organising data-maps.

3.      To investigate improved methods for user interfaces and information presentation for clinicians and patients decision activities.

To generalise the project’s results and disseminate them to UK NHS cancer centres and other specialist cancer research networks.

More detailed information

Funding:

Publications:

• Lisboa, P.J.G. ‘A review of evidence of health benefit from artificial neural networks in medical intervention’, Neural Networks, Invited Paper, 15(1), 9-3, 2002.

• Lisboa, P.J.G., Vellido, A. and Wong, H. ‘Outstanding Issues for Clinical Decision Support with Neural Networks’ in H. Malmgren, M. Borga, and L. Niklasson (eds.)  ‘Artificial Neural Networks in Medicine and Biology’ Springer, London, 63-71, 2000.