Online Program

Digital data and the learning health system

Monday, November 4, 2013 : 12:30 p.m. - 12:50 p.m.

Claudia Grossman, Ph.D., Institute of Medicine, Keck Center, Washington, DC
Digital health data are the lifeblood of a continuous learning health system. A steady flow of reliable data is necessary to coordinate and monitor patient care, analyze and improve systems of care, conduct research to develop new products and approaches, assess the effectiveness of medical interventions, and advance population health. The totality of available health data is a crucial resource that should be considered an invaluable public asset in the pursuit of better care, improved health, and lower health care costs. The health data sources that collectively comprise the nation's developing digital health data utility are multiple and rapidly growing. Digital sources of clinical data, such as electronic health records, and registries are increasingly available. So too, are population health data routinely collected through the public health system and its surveys and surveillance activities, and health-related data such as environmental monitoring. Given these trends, there is great opportunity for the virtuous cycle of learning and improvement to extend beyond the context of health care systems to address the broader issue of improving health in communities. Access to the right data, ability to integrate data types to get a complete picture, rigorous analysis and interpretation, and effective dissemination of knowledge will be crucial to making communities effective drivers of continuous improvement of the health of their populations.

Learning Areas:

Public health or related public policy

Learning Objectives:
Describe the concept of the learning health system. Discuss how digital data can contribute to better health outcomes clinically, at the population health level nationally and at the level of local communities. Identify the data components effective to success in community improvement of health of their populations.

Keyword(s): Community Building, Data Collection

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I have a Ph.D. in Biomedical Sciences from the University of California, San Francisco and I am an expert in the center and have worked in this field for several years. As a member of the IOM staff I have participated in and conducted a number of study sections on the topic of my presentation.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.