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The aim of this paper is to introduce a smart mHealth application based on the augmented reality (AR)-paradigm that can support patients with common problems, related to management of their medication. This smart mHealth application is designed and implemented as a medication coach intelligent agent, called Medication Coach Intelligent Agent (MCIA). The MCIA will have to manage different types of information such as the medication plan (medication regime) of the patients, medication restrictions, as well as the patient’s preferences and sensor input data from an AR-headset. Considering all this information, the MCIA leads with holistic decisions in order to offer personalized and unobtrusive interventions, in an autonomous way, to the patients. From a long term perspective, the MCIA should also evaluate its performance over time and adapt in order to improve its interventions with the patients. To show the feasibility of our approach, a proof-of-concept prototype was implemented and evaluated. The results show a high potential for using the MCIA in real settings.

The aim of this paper is to introduce a smart mHealth applicationbased on the augmented reality (AR)-paradigm that can support patients with common problems, related to management of their medication. This smart mHealth application is designed and implemented as a medication coach intelligent agent, called Medication Coach Intelligent Agent (MCIA). TheMCIA will have to manage different types of information such as the medication plan (medication regime) of the patients, medication restrictions, as well as the patient’s preferences andsensor input data from an AR-headset. Considering all this information, theMCIA leads with holistic decisions in order to offer personalized and unobtrusive inter-ventions, in an autonomous way, to the patients. From a long term perspective, the MCIAshould also evaluate its performance over time and adapt in order to improve its interventions with the patients. To show the feasibility of our approach,a proof-of-concept prototype was implemented and evaluated. The results showa high potential for using theMCIAin real settings.