Virtual Earth in the Healthcare Industry  Analysis of the geographical relationship between environments and diseases has long been a cornerstone of public health, evidenced by the classic, textbook example of John Snow's study of cholera transmission in London.  The Health sector has a wide reaching requirement for location intelligence solutions from spatial analysis of potential hospital locations to cleaning and plotting of patient data for epidemiological studies. Virtual Earth provides solutions in the emerging field of clinical surveillance as well as tracking infectious diseases, identifying gaps in childhood immunisations, conducting market studies and documenting the health care needs of a community, managing logistics, publishing geographic health care information on the Internet, and managing patient care environments and clinical resources in widely distributed hospitals and health care systems Location is a critical component of success in healthcare. Providers need to meet customer and patient needs, to provide quality service, to ensure network coverage, and to make better-informed business decisions. Microsoft Virtual Earth can help allow easy visualization of critical information, including patient demographics, network coverage, market information, and health and utilisation data. Virtual Earth allows organizations to utilise their current systems and data in new ways, and leverages the power of location in a variety of ways: Uses standards-based, easily-customized technology, which works well with existing systems and data Critical value in strategic network planning and gap analysis Locates the optimal site for new facilities Provides additional levels of customer care and provider services Analyses which services are likely to be required in which areas Determines the growth potential for current and planned programs Helps you make better decisions in network planning and gap analysis Provides a new perspective for better decision-making  Address Geocoding and Census tagging. Address geocoding allow you to analyse your data spatially and to view it in map format. It can also be used to append the correct Census Electoral Division code for demographic analysis.