Structured computer-based training in the interpretation of neuroradiological images

Computer-based systems may be able to address a recognised need throughout the medical profession for a more structured approach to training. We describe a combined training system for neuroradiology, the MR Tutor that differs from previous approaches to computer-assisted training in radiology in that it provides case-based tuition whereby the system and user communicate in terms of a well-founded Image Description Language. The system implements a novel method of visualisation and interaction with a library of fully described cases utilising statistical models of similarity, typicality and disease categorisation of cases. We describe the rationale, knowledge representation and design of the system, and provide a formative evaluation of its usability and effectiveness

Socio-cognitive engineering: a methodology for the design of human-centred technology

We describe a general methodology, socio-cognitive engineering, for the design of human-centred technology. It integrates software, task, knowledge and organizational engineering and has been refined and tested through a series of projects to develop computer systems to support training and professional work. In this paper we describe the methodology and illustrate its use through a project to develop a computer-based training system for neuro-radiology