Some individuals, faced with a myriad of daily health-oriented decisions (e.g. what, when and how much to eat), would welcome a professional advisor with them at each of those moments. This strategy is socially and economically impractical. The question remains, however, how would individuals engage automated advice based on a personalized health profile. How would this automated advice be integrated into human-to-human advice and treatment? How would individuals learn, over time, to make better-informed decisions through exposure to this personalized coach? To find such answers our group at Georgia Institute of Technology created Dr. J Says, an online and inexpensive health profile based menu ordering application that delivers automated food recommendations to students dining at college cafeterias. Based on our experiences in designing, developing and deploying Dr. J Says we propose that certain characteristics of the advice created and delivered by automated pervasive healthcare interventional technologies has the potential to improve the probability of healthcare advice in being used by care receivers. We identify these attributes to be: Personalization, Context Awareness, Real-life Nature, Just-in-time Delivery and a Strong Evidence Base.
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