A Proposal for Data Collection and Process Automatization for Ubiquitous Engagement with Mental Health Organizations

Abstract

Mental health is one of the most significant public health challenges. In recent years, several motivational applications have been proposed to help users maintain good mental health. However, many times these applications focus on uplifting messages or general resources that are not tailored to the specific needs of their users. In contrast, non-profit organizations implement effective methods to support people based on their real needs and set concrete attainable objectives. Unfortunately, these organizations tend to be saturated by the number of clients and the lack of automatization in their processes. In this paper, we present a proposal to improve mental health organizations’ data collection and decision processes through a web application, allowing workers to store, access, and modify client data more efficiently. The computerized model is exploited by an intelligent conversational assistant to provide around-the-clock personalized and ubiquitous interaction with clients to encourage engagement with the organization.