This paper presents a vision of the future for communicating home monitored data from chronic Type 2 diabetes mellitus (T2DM) patients to the point of care via telemedicine technologies. We argue the need to fuse patient parameters, namely blood glucose, blood pressure and weight together with spoken dialogue technology to increase support for these patients. Methods to acquire and interpret automated patient data via telecommunications technology endeavours to close the loop in patient therapy, provide empowerment and help overcome the cognitive overload facing today's clinicians. Our proposed system, known as DI@L-log aims to provide specific supporting data to medical professionals and encourage effective ambulatory care through an innovative information exchange platform.