Python, Cadastral Geocoding, and EMR Data: A Processing Tool
Track: Python for Arcgis
Authors: Amy Speer
Electronic Medical Records (EMR) offer a wealth of important medical data, but preparing data for spatial analysis is challenging – address data are messy, cadastral geocoding must be conditioned on date of the data, datasets are large, and processing is time-intensive. We developed a tool using ArcGIS, Python, and SAS scripts to feasibly and quickly process cadastral geocoding.. We used this tool to process EMR data for a large, urban, safety-net health system (n=300,000 addresses).