WhiteRabbit is a software tool to help prepare for ETLs (Extraction, Transformation, Loading) of longitudinal healthcare databases into the OMOP Common Data Model (CDM). The source data can be in comma-separated text files, or in a database (MySQL, SQL Server,…
Health Entity Relationship and Metadata Exploration System (HERMES) HERMES is a web based tool for searching and navigating the vocabulary within the OMOP Common Data Model (CDM). In addition to the search and navigation capabilities, HERMES also provides features to…
Patient-Level Assessment of Treatment Outcomes: Predictive models that assess the probability of a patient experiencing any outcome following initiation of any intervention, given his or her personal medical history. Patients seek medical care to diagnose and treat illness. Current medical…
Health Outcomes and Medical Effectiveness Research (HOMER): Risk identification and comparative effectiveness system, enabling real-time exploration of the effects of medical products. Observational health care data, such as electronic health records and administrative claims, offer tremendous opportunities to study health,…
Automated 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…
Welcome to the OHDSI Community Forum, where you can enjoy an open and interactive environment to discuss whatever is on your mind. Have a problem? Leave your question and wait for responses from the community. And remember — play nice!
Building your CDM is a process that necessitates proper planning and execution, and we are here to help. Successful use of an observational data network requires a collaborative, interdisciplinary approach that includes: Local knowledge of the source data: underlying data…
The Standard Vocabulary is a foundational tool initially developed by some of us at OMOP that enables transparent and consistent content across disparate observational databases, and serves to support the OHDSI research community in conducting efficient and reproducible observational research.…
A video tutorial series on implementing and using the CDM is coming soon. Stay tuned.
Standardized Data: The OMOP Common Data Model The Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) is an open community data standard, designed to standardize the structure and content of observational data and to enable efficient analyses that can…