The Diabetes Digital Coach Test Bed will provide the infrastructure for mobile health self-management tools (wearable sensors and supporting software) to take advantage of new developments in connecting monitoring devices (Internet of Things) so people with Type 1 or Type 2 diabetes 'do the right thing at the right time' to self-manage their condition. An additional benefit will be more timely & appropriate interventions from peers, healthcare professionals, carers and social networks. Our collective vision is to 'Enable every citizen to self-care in their own way to the benefit of their health, both physical and mental' . We will also address how the data generated through the tools can be owned and managed by people with diabetes through a personal firewall for individuals to give consent and access to share this data with other systems such as analytics engines and healthcare practitioner portals (eg or local Connecting Care platform) We subsequently intend to aggregate data, information and knowledge to gain a real time population wide view of the health status of people with diabetes to nudge and promote behaviours to improve health.

The iGRC Consortium launched its integrated dynamic risk management operational capability on 15th December 2011. Focused on the protection of critical national infrastructure from cyber attack, the iGRCTM capability combines Infogov’s leading Proteus® Enterprise information security management system with network security related sensor technologies via the Consortium’s open governance, risk and compliance inter-operability protocol, iGRCTM. The demonstration was about handling customer credit card payments in accordance with PCI DSS 2.0. Four scenarios were used: (1) disclosure of card payment details via email, (2) unauthorised system access, (3) unauthorised changes to executable files and (4) system access by ex-employees. The Proteus iGRCTM capability provides accurate understanding of the risk profile, whilst providing: dynamic risk management; insurance for high impact low probability risk events; derivation of security intelligence from the ICT estate; linkage of risk operations to management; exploitation of existing sensor information and verification of risk assessments.

Awaiting Public Summary