Big Data and mHealth Drive Asthma Self-Management

This paper reports our effort to establish the desirable characteristics for the next generation asthma APP for an underserved population. Proposed asthma mobile APP aims to promote older adults´ positive adjustment to this chronic disease by being an effective tool for patients to track their personal asthma triggers, predict asthma attacks, support asthma self-management and communicate with healthcare provider. Management of asthma is a dynamic process and varies by individual. For that reason, a personalized asthma APP is necessary to control this chronic disease. Environmental indicators, personal triggers, symptoms monitoring, medication use, peak flow, and blood oxygen monitoring data are analyzed to predict an asthma attack or indicate control. Other non-asthma symptom monitoring, such as fatigue, and biometric measures, like blood pressure, may be added as requested by end user.