The ability to collect and exchange health data is meaningless unless it is appropriately accessed and analyzed to inform clinical decisions about an individual’s condition and possible interventions. Data stored in disease registries and repositories create opportunities for us to develop a more refined healthcare consumer matching process, analyze and predict trends, and even make predictive assumptions about an individual and population. As the world of health IT matures, so do the possibilities to make informed care decisions, deliver quality care, improve patient outcomes, and ultimately lower total cost of care. Industry leaders have to overcome a number of organizational and process challenges preventing them from fully participating in proper data access and use. This workgroup will focus on the growing role of analytics in healthcare and how we utilize data to make informed, clinical decisions at both the individual and population levels. The workgroup will review various roadblocks and successes of key areas of analytics, such as costs and benefits of patient access and how data is shared; review industry accreditation and standards; and develop a report/toolkit, exploring best practices for data sharing with 3rd parties and building consensus around appropriate secondary data uses.