Abstract
Nowadays private health insurance is experiencing a substantial transformation. The number of chronic patients has increased greatly because of unhealthy behaviors, chronic medical conditions are responsible for two-thirds of current healthcare cost’s increase. Health insurance players face new challenges on how to prevent disease burdens and how to act preventively by promoting healthy behaviors to improve quality of life and wellbeing. Promoting a collaborative dataflow to keep all actors aware about events requiring their immediate attention assumes therefore a key relevance to enable an active participation of healthcare professionals in monitoring patient’s healthy behaviors. The implementation of self-awareness mechanisms addresses the responsibility of the patients for their actions. Following a user-centric approach and service design thinking principles, this paper presents an information visualization model for situational-awareness that streamlines visual representation of events in a collaborative decision making environment, as a way to proactively monitor unhealthy risk behaviors and risk situations within the health insurance domain. This work presents the outcomes of a prototype that describes two operational scenarios, demonstrating how the proposed model can be applied to health insurance.
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BYOD - Bring your own device, possibility for customer to use their personally owned wearable or mobile devices (e.g., smartwatch, smartphone).
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HbA1c refers to glycated hemoglobin, which identifies average plasma glucose concentration. HbA1c provides a longer-term trend, similar to an average, of how high your blood sugar levels have been over a period of time.
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Epifânio, F., Pestana, G. (2018). Modeling an Information Visualization Engine for Situational-Awareness in Health Insurance. In: Rocha, Á., Adeli, H., Reis, L.P., Costanzo, S. (eds) Trends and Advances in Information Systems and Technologies. WorldCIST'18 2018. Advances in Intelligent Systems and Computing, vol 745. Springer, Cham. https://doi.org/10.1007/978-3-319-77703-0_77
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DOI: https://doi.org/10.1007/978-3-319-77703-0_77
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