Distance to Health Care is a spatial analysis use case that measures and visualizes the geographic accessibility of medical facilities — including hospitals, clinics, pharmacies, and specialty care centers — relative to population distributions. Using GIS technology, analysts integrate geospatial data layers such as road networks, facility locations, demographic datasets, and administrative boundaries to calculate travel time, Euclidean distance, or network-based distance metrics across a defined study area.

The analytical workflow typically involves geocoding health care facility addresses, performing proximity analysis or service area modeling using tools like network analysis extensions, and generating choropleth or isochrone maps that reveal spatial disparities in access. Advanced implementations incorporate population-weighted accessibility indices, such as the Enhanced Two-Step Floating Catchment Area (E2SFCA) method, to account for both supply and demand factors.

Practical applications include identifying health care deserts, supporting equitable resource allocation, informing policy decisions, and guiding facility placement planning. Public health agencies, urban planners, and humanitarian organizations leverage these geospatial insights to reduce health inequities, prioritize underserved communities, and optimize the spatial distribution of critical medical infrastructure across urban and rural environments.