Towards patient-specific carbohydrate counting accuracy: An in silico study

Type 1 diabetes mellitus patients on intensive insulin therapy use advanced carbohydrate counting to proper dose prandial insulin. Therefore, the patient’s ability accurately estimate meal’s content is paramount. However, despite its significance, several studies show that estimates far from ideal and identify need for continuous education counting. In this context, authors have proposed in previous works an analytic method determine maximum error regarding each insulin-to-carb ratio sensitivity factor. This can be of great significance design patient-specific educational programs define learning outcomes according specific characteristics patient. work presents a methodology conditions assess previously method, using FDA-approved University Virginia(UVA)/Padova Diabetes Simulator.