DHI Demonstration & Simulation Environment : DHI Phase 1b Report - Lessons Learned

Digital Health & Care Institute (2019) DHI Demonstration & Simulation Environment : DHI Phase 1b Report - Lessons Learned. [Report]

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    Abstract

    The DHI Demonstration & Simulation Environment (DSE) is a Scottish Government funded innovation asset composed of two main capabilities. A) A physical place that can act as a place to bring together people, products and services to demonstrate the ‘art of the possible’. B) A virtual sandbox in which multiple consumer and statutory digital products and platforms can interoperate and demonstrate their contribution to person-centred health and care service delivery. The facility and virtual toolkit are continuously developed to support Scottish Government policy using digital capabilities to enable co-managed, integrated care in the community. Through broader project delivery, market analysis and literature review activities, DHI has determined that the UK is punching below its weight on accessibility and use of digital health and care services. DHI proposes that this is largely due to organisation-centric design and delivery processes which do not align with modern user expectations for flexible, adaptable and portable approaches seen in other sectors. To support the shift to distributed systems, DHI’s innovation model attempts to balance the short-term need for application of organisation-centric technologies at scale today (first horizon) with the need for more fundamental and system changing innovations for person-centred care in the longer term (third horizon). DHI set out to demonstrate that is was possible to create a set of infrastructure that follows and is controlled by a person, not and organisation, and that this could help to rebalance the power dynamic to help achieve the desired objective of co-managed, integrated, person centred services. The existing simulations and the positive engagement to date highlight that is indeed possible, but that there are trust and orchestration issues that must be addressed to allow this approach to scale up.