The rising global population and longevity of individuals place ever-greater demands on healthcare. Increasing choice and complexity of modern treatments make it difficult for clinicians to know and offer the best choices to patients and monitor outcomes to optimise and individualise care. Patients in turn, struggle to adhere to complex treatments offering better outcomes. Information Communication Technologies could improve decision-making by automating aspects of delivery as well as collecting and analysing outcome data that can drive optimisation. We propose an intelligent eHealth-based platform for primary care. The core technology is an Intervention Evolution Engine (IEE) that continuously optimises discreet interventions by comparing two or more versions and replacing the least effective intervention with a new alternative, based on patient feedback. The ultimate aim of this work is to offer a sustainable and exploitable solution for improving and preserving the health and well-being of individuals.
Ahmed, Bakhtiyar; Dannhauser, Thomas; and Philip, Nada, "Intervention Evolution Engine - An Intelligent eHealth Service Delivery Platform" (2018). UK Academy for Information Systems Conference Proceedings 2018. 5.