The Feasibility of Using MyStrengths+MyHealth Consumer-Generated Health Data for Knowledge Discovery

KEY POINTS This study examined the feasibility of using deidentified standardized data reported by adult women with and without Circulation signs/symptoms to understand wholeperson health, including strengths, challenges, and needs. Existing data generated through use of a web-based mobile application, MyStrengths+MyHealth, that includes a consumer-facing version of the Omaha System, a multidisciplinary health terminology. Women with Circulation signs/symptoms reported more health challenges and similar strengths (assets) and health needs as women without Circulation signs/symptoms. Women with and without Circulation sign/symptoms all reported sleep as their top health challenge. Further research is needed to understand how this structured, standardized approach may improve clinical communication about whole-person health including strengths, challenges, and needs. C onsumer-focused technologies such as mobile health (mHealth) applications engage consumers in managing personal health. Consumer-focused technologies are tools designed to help manage health concerns, monitor indicators of health, and communicate with caregivers. Applications, also called apps, designed for a mobile device may be used by consumer to self-manage their health, improve access to care, and manage personal health information. These consumer-generated health data have potential to transform individualand population-level health and enable discovery of new knowledge regarding critical health issues, such as the growing burden of chronic disease. However, consumergenerated health data generated by use of mHealth apps may not be standardized, structured, organized, easily stored, recalled, or manipulated. In response to this problem, efforts have been made to standardize and structure consumer-generated health data in mHealth apps. The Patient-Centered Outcome Research Institute developed common data models to address the need for consumers to share their perspective of health in their own words. Recommended common data model elements such as the Systematized Nomenclature of Medicine– Clinical Terms rely on provider data from clinical observations. Fast Healthcare Interoperability Resources provides standards and specifications for consumer-generated health data exchange. The Omaha System is a multidisciplinary interface terminology standard that exists within the