Although a substantial effort has been spent on healthcare, preventable medical errors are still inevitable due to fragmentation of medical information. In recent years, a significant effort has been placed on advancing information technology for effective healthcare and wellness in both academic and industrial applications. There is an increased effort to transform reactive care to proactive and preventive care, clinic-centric to patient-centered practice, training-based interventions to globally aggregated evidence, and episodic response to continuous well-being monitoring and maintenance. To successfully address the challenge of smart health and wellbeing, it is critical (1) to develop an interoperable digital infrastructure for sharing health data and knowledge; (2) to utilize diverse data source for establishing evidence-based health and wellness decision support based on automated and augmented insight and discovery; (3) to establish a secure cyber-base for patients and healthy individuals to play a substantial role in their own health and treatment; and (4) to provide an integrated intelligent systems (including sensors, devices, and robotics) for individuals to monitor and maintain function and independence. This workshop will provide a forum for researchers to discuss fundamental principles, algorithms, and applications of intelligent healthcare data acquisition, processing, and analysis. Approaches accompanied by in-depth experimental evaluation of real world data that address top challenges in healthcare data quality control, information extraction, knowledge modeling, and informed decision making for feasible action taking are strongly encouraged.