Research has shown that "place matters" in health and illness. Climate, pollution and crime are examples of geographically specific social and environmental factors that can substantially impact health. However, health care decision-making and practice do not currently include spatial data on specific patients. Opportunities to incorporate clinically relevant data from the environment into health care practice are numerous, and the implementation issues are virtually unexplored. We use a qualitative study from a natural disaster, the Middle Tennessee Flood of 2010, to examine the possibilities presented by community-sourced spatial data. In our case, linking EHR data with data from rasterized photos of inundated areas could have enabled providers to identify at-risk populations of patients after the flood and conduct supportive outreach for patients with chronic illness. We explore the potential benefits for patients, policy issues and implications for biomedical informatics of expanding the health record to incorporate or link to community-sourced data.