Tools for Observational Research

**As of June 30, 2016, the IMEDS Research Lab will be suspended for the remainder of the year until further notice. Thank you for your support. For additional information or questions about this update, or to learn more about other areas of the IMEDS program, please contact IMEDS@reaganudall.org.

Please note that all tools are Open Source and research grade. You are encouraged to implement the tools within your own data environments.

Methods

Analysis Methods - Download source code and instructions on how to execute various methods.

OMOP Web Tool: Evidence-based Learning from Medical Observations (ELMO) - Pick the database, outcome (acute kidney injury, acute liver injury, AMI, & GI bleed), and methods to determine various estimates.

Data Transformation and Characterization Tools

OMOP Common Data Model - The OMOP Common Data Model (CDM) is used to standardize the format and content of observational data, so standardized applications, tools and methods can be applied to them.

Standardized CDM Data Queries - A collection of queries you can use to interrogate the data.

Standardized Vocabulary Queries - A collection of queries to find concepts through use of the Standard Vocabulary.

OSCAR - Observational Source Characteristics Analysis Report (OSCAR) Design Specification and Feasibility Assessment. OSCAR is a tool for systematic counts and summary statistics of the data.

GROUCH - Generalized Review of OSCAR Unified Checking. GROUCH is a tool for systematic testing for outliers in frequencies, data over time and boundaries.

NATHAN - Utility of Natural History Information. NATHAN creates information about the natural history of disease.

Health Outcomes of Interest

Library of Health Outcomes - This is a library of definitions of health outcomes routinely studied for drugs. Within the IMEDS Research Plan we are continuing projects to catalogue, systematize and investigate methods for defining health outcomes in administrative databases and EHRs.

Regularized Identification of Cohorts (RICO) - RICO is a procedure that standardizes patient cohort selection. RICO is available only in OMOP CDM version 2 format.

OSIM2 - Observational Medical Dataset Simulator Generation 2

Simulated Data - OSIM2 is an open-source software application, written in R, that allows you to create simulated datasets that conform to the OMOP Common Data Model. There are 16 OSIM2 datasets that are available for download.