ACHILLES for data characterization

achilles screenshot_webAutomated Characterization of Health Information at Large-scale Longitudinal Evidence Systems (ACHILLES) – descriptive statistics about an OMOP CDM v4 database.

We released our first open-source software application, ACHILLES, at the 2014 EDM Forum in San Diego, CA. Check out the interactive ACHILLES Demo.

ACHILLES is a platform which enables the characterization, quality assessment and visualization of observational health databases. ACHILLES provides users with an interactive, exploratory framework to assess patient demographics, the prevalence of conditions, drugs and procedures, and to evaluate the distribution of values for clinical observations.

ACHILLES is intended to be implemented by organizations that have patient-level observational health databases available in their local environment.

ACHILLES has two main components. The first component is implemented as an R package and runs securely within your local environment without disclosing any patient identifiable information. This R component requires that your database adheres to the OMOP common data model standard. The R package generates summary statistics which describe the quality and content of the patient-level observational health database and provides features to perform a simple review or bulk export of the summary statistics. The second component of ACHILLES is implemented as a HTML5 / JavaScript website with a series of interactive reports that allow for the exploration and visualization of the generated summary statistics. Summary statistics from multiple databases can be made available from a single installation of the ACHILLES web site.

Part 1: R package for summary statistics calculation (https://github.com/OHDSI/Achilles)

Part 2: Web interface to visualize ACHILLES summary statistics (https://github.com/OHDSI/AchillesWeb)