A Data-Driven Approach to Problem Assessment, Technology Design, and Sustainable Business Planning for m-Health Delivery

Abstract

This paper presents a data-driven qualitative research approach to identifying the role of technology for chronic disease management and control in large underserved communities. Within the context of a knowledge translation framework, the main emphasis of this work is on tailoring knowledge from data provided by a community using mobile health (m-health) solutions followed by analysis leading to synthesizing models that are ultimately used for providing feasible technology solutions. The research design is described, along with an application case study for data capturing from a slum community in India. The reported results present the methodology and capturing process for data-driven grounded theory and include details of text-mining and qualitative results.