Comparing pancreatic cancer identification using health plan automated data & SEER cancer registry

The aim of this study was to inform the development of an automated data algorithm using the Virtual Data Warehouse (VDW) and validation with chart abstraction to rapidly identify patients with recently diagnosed pancreatic cancer. The challenge encountered in this study was extracting imaging data from radiology databases. Unlike cancers of other anatomic sites, the diagnosis of pancreatic cancer is also based on imaging procedures in addition to pathology information. This pilot study generated preliminary data for a larger study proposal.

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