AI-Enabled Proactive mHealth: A Review

Digital health incorporates mHealth to provide digital transformation in healthcare. AI in mHealth has a significant impact on promoting self-management. Our current healthcare system is reactive that is to react when symptoms emerge a crisis occurs and then take steps. Proactive health in contrast is to predict risks and prevent them with supportive actions promptly. This allows people to take control of their health and be aware of their surrounding and wellbeing. To achieve proactive mHealth with the capability of predictions and preventions. AI can contribute by applying reasoning and negotiation to the available health data and recognizing patterns to automate processes and augment healthier behaviors. In this paper, we systematically reviewed existing research with AI in mHealth to establish proactive mHealth. This paper also explores the level of proactiveness in existing systems. Our review identified that digital interventions and recommender system form the basis of proactive mHealth. We found nine targeted groups most of them are for chronic disease management. With this review, we also evaluated AI-techniques and data sources used in modelling these systems.