A contextual Hybrid Intelligent System Design for Diabetes Lifestyle Management
conference paper
In the past few years, the research field of Hybrid Intelligence (HI) has progressed due to an increased human-centered focus on AI. In this paper, we propose a function design for embedding a hybrid intelligent system in the context of a societal relevant use case - lifestyle support for Type 2 Diabetes patients. The novelty of this paper is that we used co-design sessions with diverse stakeholders, such as general physicians, lifestyle coaches, diabetes researchers and healthcare IT professionals, to come to this design. We explain our vision on HI for this use case and highlight key functions in that vision: 1) a support function to construct and update a holistic patient profile through inclusive and longitudinal personalized interaction; 2) a patient prioritization function for a consultation with a healthcare professional (HCP); and 3) a function enabling the shared decision-making on the goals the patient should pursue. These functions are designed with the context of users and system in mind, accounting for the unique contextual factors that make each diabetes patient unique and in need of context-aware support. In future work, we create a demonstrator based on this design and evaluate it with end users, ultimately improving quality of life of diabetes type 2 patients and supporting the work of HCPs
TNO Identifier
1002829
Source title
International Workshop Modelling and Representing Context, ECAI (Vol. 23).
Files
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