AHRA Transformational Data Collaboration and OHDSI Australia Joint Webinar 20th April 2020. Nigel Hughes talks about the European Health Data & Evidence Network: www.ehden.eu Nigel is a respected speaker and the content is relevant if you are interested in data linkage and secondary use of health information data.
USAGI for vocabulary mapping Usagi is a software tool used to help in the process of mapping codes from a source system into terminologies, preferably standard ones, stored in the Observational Medical Outcomes Partnership (OMOP) Vocabulary (http://www.ohdsi.org/data-standardization/vocabulary-resources/).
The OHDSI community has been working toward this goal by producing open data standards and open-source analytics tools for more than 10 years. Using the OHDSI tools, you can build cohorts of patients, analyze incidence rates for various conditions, and estimate the effect of treatments on patients with certain conditions.
Oct 22, 2019 · The OHDSI toolset, powered by the OMOP Common Data Model, provides an incredible resource for analysis of observational health data. And the free, open source nature of OHDSI ensures that their tools are available to everyone. This also makes it possible to share models across data sites and therefore perform extensive external validation.
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Introducing OHDSI •The Observational Health Data Sciences and Informatics (OHDSI) program is a multi‐ stakeholder, interdisciplinary collaborative to create open‐source solutions that bring out the value of observational health data through large‐scale analytics •OHDSI has established an international
Software Tools; OHDSI Studies; Book of OHDSI. Book of OHDSI (English Version) Book of OHDSI (Korean Version) Order The Book of OHDSI (Amazon) Resources. Wiki; Community Forums; OHDSI Forum Best Practices; Github; Publications; ATLAS Tutorials; Past Presentations; Community Meeting Presentations; Titan Awards; New To OHDSI? Introduce Yourself ...
OHDSI ATLAS is a web-based integrated platform for database exploration, standardized vocabulary browsing, cohort definition, and population-level analysis that can be used to query an industry-standard OMOP database sourced from the Mount Sinai Data Warehouse (MSDW). The OMOP Common Data Model allows for the systematic analysis of disparate observational databases.