Objective:

Expand the OMOP CDM and leverage OHDSI tools so that patients’ environmental exposure histories can be related to their clinical phenotypes. The group will define a new CDM-compatible schema that accommodates four types of exposures: Environmental toxins; social determinants of health; access to healthcare; and the built environment. It will identify or develop local and standard vocabularies and mappings that follow the CDM’s data model for healthcare concepts. Modifications to existing CDM tables will be defined that enable longitudinal residence, workplace, and school location histories. New schema for geographic regions and their attributes will be defined. Atlas tools for data characterization, visualization, cohort definition, and analysis will be modified to allow environmental exposures be treated in an equivalent way to health care exposures. New visualization tools will be developed and added to Atlas that visualize the locations of cohorts with overlaid maps of health-related geographic attributes. New analytic packages will be added to the methods library for analysis of spatially-correlated data.

Project Leads:

Robert Miller, Andrew Williams

Members

Repository:

https://github.com/OHDSI/Gaia