Observational Health Data Sciences and Informatics documentation:software

documentation:software:achilles

Anonymous (anonymous@undisclosed.example.com) — 2019-02-19T22:15:09+0000

Achilles Automated Characterization of Health Information at Large-scale Longitudinal Evidence Systems (ACHILLES) – descriptive statistics about an OMOP CDM V5 database. See Atlas Data Sources Interactive Demo Introduction 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 pro…

documentation:software:atlas

Anonymous (anonymous@undisclosed.example.com) — 2019-05-30T20:41:22+0000

ATLAS ATLAS is a free, publicly available web-based, open-source software application developed by the OHDSI community to support the design and execution of observational analyses to generate real world evidence from patient level observational data.

documentation:software:circe

Anonymous (anonymous@undisclosed.example.com) — 2014-12-03T21:01:20+0000

CIRCE CIRCE - Cohort Inclusion and Restriction Criteria Expression Introduction When performing an analysis, usually the first step is to define the population of interest (also known as a cohort). However, there is limited technology out there that makes it easy for a user to define populations based on user-specified criteria. CIRCE provides a user interface for users to enter cohort criteria, persist them to storage, and generate the CDM v5 SQL queries.

documentation:software:etl_tools

Anonymous (anonymous@undisclosed.example.com) — 2015-01-08T17:23:55+0000

ETL Tools In addition to the helpful and friendly OHDSI community forums, OHDSI has developed some software tools to help out with the ETL process. Check out the details below. * WhiteRabbit * Usagi

documentation:software:heracles

Anonymous (anonymous@undisclosed.example.com) — 2015-04-23T16:36:26+0000

HERACLES Heracles is a cohort summarization and visualization tool designed to work with the OMOP Common Data Model. Requirements * Data in OMOP CDM v4/v5 * COHORT and COHORT_DEFINITION tables (or other tables following the OMOP V5 cohort table format)

documentation:software:hermes

Anonymous (anonymous@undisclosed.example.com) — 2014-12-03T23:00:49+0000

HERMES Introduction Hermes is a web based tool that allows you to search and explore the current CDM Vocabulary database. Overview * Search Box : Enter your search string here by clicking on the text box and typing or simply typing while your web browser window is selected.

documentation:software:laertes

Anonymous (anonymous@undisclosed.example.com) — 2016-08-26T18:18:25+0000

The Laertes evidence service Laertes (Largescale Adverse Effects Related to Treatment Evidence Standardization) is a system that integrates numerous sources of evidence useful for investigating the association of drugs and health into a single system (see

documentation:software:methods_library

Anonymous (anonymous@undisclosed.example.com) — 2018-12-14T13:12:55+0000

Methods library The methods library consists of a set of R packages that can be used to execute observational studies against data in the Common Data Model (CDM) format. For more information, see the Methods Library website.

documentation:software:ohdsi-in-a-box

Anonymous (anonymous@undisclosed.example.com) — 2018-10-20T02:21:53+0000

OHDSI-In-A-Box OHDSI-In-A-Box is a virtual machine containing the full OHDSI Technology Stack as well as several of the OHDSI tools. It was constructed as a resource to supplement tutorials held during the 2016 OHDSI Symposium. It also functions as a learning aid and sandbox environment for those who want hands-on experience with OHDSI.

documentation:software:olympus

Anonymous (anonymous@undisclosed.example.com) — 2015-04-28T14:51:49+0000

OLYMPUS Under Development OLYMPUS - OHDSI Loaded on Your Machines to Produce Ultimate Science Introduction OLYMPUS is designed to be a unified launcher and configurator for OHDSI environments. Specifically, it is designed to simplify installation and launching of web-based OHDSI applications. It is also designed to facilitate configuring the local CDM environment to work with OHDSI tools.

documentation:software:r

Anonymous (anonymous@undisclosed.example.com) — 2014-12-12T11:52:20+0000

R is a programming language. It is considered a tool within OHDSI because several R packages exist that were created by OHDSI members. R functions (vignette link) exist that can translate code in MS SQL dialect to other database dialects. R functions also can assist with generating final SQL that contains

documentation:software:splicer

Anonymous (anonymous@undisclosed.example.com) — 2018-05-31T18:45:29+0000

The CommonEvidenceModel The Common Evidence Model (CEM, formerly LAERTES) is a system that integrates numerous sources of evidence useful for investigating the association of drugs and health into a single system (see project page). For more information on the CommonEvidenceModel refer to the

documentation:software:usagi

Anonymous (anonymous@undisclosed.example.com) — 2021-04-09T18:56:59+0000

Usagi NOTICE APRIL 2021: this page is not updated anymore, the most recent documentation can be found on Github Introduction Usagi is a software tool created by the Observational Health Data Sciences and Informatics (OHDSI) team and is used to help in the process of mapping codes from a source system into the standard terminologies stored in the Observational Medical Outcomes Partnership (OMOP) Vocabulary (

documentation:software:webapi

Anonymous (anonymous@undisclosed.example.com) — 2019-05-02T16:20:37+0000

WebAPI The OHDSI WebAPI is a RESTful service layer which provides access to data and method execution. Documentation for WebAPI is now found on GitHub Link to automatically generated documentation WebAPI API documentation

documentation:software:whiterabbit

Anonymous (anonymous@undisclosed.example.com) — 2020-02-18T14:12:41+0000

WhiteRabbit NOTICE FEB 2020: the current documentation can be found on Github Introduction Scope and purpose WhiteRabbit is a software tool to help prepare for ETLs (Extraction, Transformation, Loading) of longitudinal healthcare databases into the