This document discusses how Hadoop can help address challenges in healthcare services. In low penetration regions, big data can help remotely collect medical data and provide a single scalable solution to reduce the rural-urban divide. In high penetration regions, big data can encourage patient self-awareness and self-management to reduce pressure on primary care providers and expensive unplanned hospitalizations. A case study is presented on using Hadoop for chronic patient self-management that is scalable, fault tolerant, open source, robust, interoperable and secure. The case study resulted in patients feeling empowered and lower strains on primary and emergency care centers.