6533b835fe1ef96bd129e9cc
RESEARCH PRODUCT
Conceptualization of a personalized ecoach for wellness promotion
Martin GerdesDian TjondronegoroSantiago Martinezsubject
Knowledge management020205 medical informaticsConceptualizationbusiness.industryBig dataContext (language use)02 engineering and technologyCoaching03 medical and health sciences0302 clinical medicineHealth promotion0202 electrical engineering electronic engineering information engineering030212 general & internal medicineDialog boxbusinessPsychologyWearable technologyReference groupdescription
Evidence-based health promotion programs implement clinical practice guidelines built upon results of clinical trials with a definite number of participants, collected during a specific period of time. Wearable technologies allow for continuous observation of wellness parameters of multiple citizens, combined with monitoring of activities and context parameters involved in citizens' wellness. A statistical inference model can describe the relation between multidimensional activities and context parameters, the wellness of an individual and a comparable reference group, utilizing machine learning techniques and knowledge from continuous observations of multiple citizens. This paper presents a holistic concept of a coach system, namely eCoach, that combines specialized medical evidence available from randomized control trials, with individual and reference knowledge to create and reinforce wellness-based recommendations. The eCoach adapts these recommendations in a continuous personalized coaching dialog addressing citizen's needs and preferences.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2017-05-23 | Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare |