Abstract

Mobile health is a practice of health service (technology) that provides detailed information about the in-take of drugs to patients. It serves as an aid for individuals to manage their health and wellness by promoting healthy living and providing adequate access to useful information when and where needed. Mobile health is not entirely new and it could be likened to an offspring of electronic health with the advent of mobile communication. It implies the practice of medicine and health services as facilitated by electronics. It also helps fight and prevent diseases especially those that are deadly if not quickly and adequately noticed. This research paper considers the diagnostic and treatment support system for tuberculosis which provides a virtual means for diagnosing patients with tuberculosis through collating symptoms and/or checking body vitals with advanced mobile devices. It aims to administer drug treatments to infected patients as resolved by dedicated medical expert(s) within reach. The system will comprise mainly of three main sections: the first section (diagnosis module) where all possible questions on the tendencies of getting infected with TB are asked by the system to the user. The second is the (treatment module) which contains the step by step treatment of TB .The third section (learning module) contains the history of Tuberculosis i.e. how it came into be, how it has affected millions of people and how it can be eradicated. A fundamental part of the application that yielded good results was the treatment module which integrated the use of a find nearest hospital tool. This tool would not only help users locate hospital for TB diagnosis and/or cure, but also serve as a first-aid tool which would come in handy and save lives in the future. This application has a strong possibility on its own albeit it needs medical engagement, support and approval in developed and developing countries alike. The possibilities are endless, ranging from first-aid provision, usage of a device’s sensors and monitors to better diagnose a patient and this app would also be scaled to other platforms to further enhance reach and usage in order to save lives.