mHealth and other wearable technologies facilitate the ease of data collection and present a great potential for expansion of healthcare quality and improvement of personal wellness. Mobile-sensor data provides researchers unprecedented opportunities to collect objective data without requiring intensive subject engagement. However, these technologies also raise many ethical issues including privacy and security challenges. It is vital that researchers have the knowledge, skills, and resources to manage these challenges in order to ensure the viability and public trust for research with mHealth and wearable technologies. Speakers will use case studies to explore the diverse risks and ethical problems posed by research with mHealth and other wearable technologies, and discuss strategies, particularly the role of research design and governance, for dealing with them. Speakers are interested in hearing from you! Please send case studies without identifiers to the speakers. Origin of all case studies will be confidential.
Describe the diverse types of data collected via mHealth and other wearable technologies and the risks and ethical issues they may pose
Explore broad stakeholders’ perspectives on data privacy, risks, and benefits of data sharing
Discuss practical strategies for lowering risk in doing research with mHealth and wearable technologies, particularly through the role of research design and governance