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CANSAT : Cancer Surveillance And Analysis Tool Using Geospatial Techniques

Cholangiocarcinomas are malignant tumors with a survival rate of only around 30% [1]. Early detection and treatment of the condition are important as the only chance for cure is surgery [1]. Geographic Information Systems (GIS) is extremely useful in spatial analysis. GIS could give the spatial distribution of cancer and the correlation of various geographic factors. Most of the Cholangiocarcinoma specific existing GIS mapping and correlation analysis are based on static data and representation. A real-time dynamic data-based GIS system can give more insights that help in understanding the factors contributing to the development of Cholangiocarcinoma. We propose a real-time cancer mapping tool named CANSAT based on GIS. Various data layers are correlated with the patient data points to relate with incidence rate and the factors influencing the oncogenesis. The tool supports features like topography layer, air quality layer, rubber plantation layer, coastal buffer layer, time series, dashboard analysis, and data insertion and is flexible to support multiple Hospital Information Systems (HIS) or other cancer types. The tool could give medical practitioners an overall idea of the patients geospatial distribution.