This paper presents an overview of the usability engineering process for the development of a personalised clinical decision support system for the management of type 1 diabetes. The tool uses artificial intelligence (AI) techniques to provide insulin bolus dose advice and carbohydrate recommendations that adapt to the individual. We describe the role of human factors and user-centred design in the creation of medical systems that must adhere to international standards. We focus specifically on the formative evaluation stage of this process. The preliminary analysis of data shows promising results.
CITATION STYLE
Martin, C., Aldea, A., Duce, D., Harrison, R., & Alshaigy, B. (2019). The role of usability engineering in the development of an intelligent decision support system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11326 LNAI, pp. 142–161). Springer Verlag. https://doi.org/10.1007/978-3-030-12738-1_11
Mendeley helps you to discover research relevant for your work.