Observational Health Data Sciences and Informatics

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====== Themis Working Group ======

**GitHub Repo**: https://github.com/OHDSI/Themis

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**The original Themis working group was a time-bound project cumulating with the May 2019 meeting at the University of Colorado Anschutz Medical Campus where the idea for a data quality tool, Data Quality Dashboard, emerged. **

**Themis was revived at the 2022 OHDSI Global Symposium with an in person meeting. //__The Themis working group is now located on the [[https://teams.microsoft.com/l/channel/19%3a756b1ded0eae4658b592a53d2e8858e5%40thread.tacv2/THEMIS%2520Subgroup?groupId=a6f2c516-e568-4974-8f1e-a7bdc2f997c5&tenantId=a30f0094-9120-4aab-ba4c-e5509023b2d5 | OHDSI MS Teams tenant]]__.// All documentation is stored in the GitHub Repo linked above. **

[[projects:workgroups:themis:firstmeeting|First WG face-to-face meeting]]: 17-Oct-2017, the day before the OHDSI Symposium Tutorials - Original submitted issues, summary, notes of discussion

[[projects:workgroups:themis:secondmeeting|Second WG face-to-face meeting]]: 8-9 March 2018, hosted by Amgen in Thousand Oaks, CA.  

[[https://www.ohdsi.org/events/themis-f2f/|2019 face-to-face meeting]] 14-15 May 2019 hosted by University of Colorado, Anschutz Medical Campus
 
====Objectives:====
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The idea of the OMOP CDM is to create a representation of the source data in such a way that queries and tools can be run more or less blindly (without access to the data) and still return the correct result. This works if the format (table structure) and the vocabularies (coding schemas) are all standardized. Achieving this allows developing standardized tools and methods and drive quality, reproducibility and efficiency, and thus gets us closer to fulfilling the OHDSI objectives.

And it does really work. Except not quite 100%. There are still a good number of issues, which despite the CDM and vocabularies the exact choice of representing a clinical event or circumstance can be ambiguous, arbitrary, or clumsy. Themis reviews these issues and makes decisions on how the data should be ETLed into the CDM.

===Audience:===
Everybody who has an interest in OMOP CDM ETL, data quality and quality certification. 

**Project Leads:**  [[http://ohdsi.org/who-we-are/collaborators/melanie-philofsky/|Melanie Philofsky]] [[http://ohdsi.org/who-we-are/collaborators/christian-reich/|Christian Reich]]



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Observational Health Data Sciences and Informatics

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