Observational Health Data Sciences and Informatics

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====== Data Quality Study  ======


<WRAP box justify round>

**Objective:** The purpose of this study is to assess the data quality using Achilles (especially to test new added rules and to establish data density thresholds for some of the rules. 

**Rationale:** Data quality is an important assumption for conducting valid studies. 

**Project Leads:** Vojtech Huser

**Coordinating Institution(s):** NIH (IRP) 

** Additional Participants:** (currently seeking additional collaborators)

**Full Protocol:**   

https://github.com/OHDSI/StudyProtocolSandbox/blob/master/DataQuality/extras/DataQualityStudyProtocol.md

**Initial Proposal Date:**  May 2016

**Launch Date:**  Sep 20, 2016 

**Study Closure Date:**  TBD

**Results Submission:** [[mailto:vojtech.huser@nih.gov|Email]]  or using OHDSI bucket  (keys provided by email by the PI)

</WRAP>

===== Requirements =====
**CDM:** V5

**Database Dialect:** any supported by OHDSI

**Software:**  R 
 
===== Code ===== 
[[https://github.com/OHDSI/StudyProtocolSandbox/blob/master/DataQuality|GitHub code for Proposed Study]]

===== Discussion ===== 

http://forums.ohdsi.org/t/ohdsi-informatics-study-data-quality/1857/3

http://forums.ohdsi.org/t/data-quality-share-your-experience-with-achilles-heel-tool-here/463



===== Sample Output ===
{{:research:synpuf1k-studyresults.zip|}}


===== Datasets run ===== 

  * IMEDS Lab (June 2016) CCAE, MDCR, MDCD, (GE - partially (it is v4))
  * Regenstrief 
  * Ausom
  * Stanford
  * J&J 
  * PEDSnet
  * expressed interest /working on executing the package : Columbia U, Merck

The current count of datasets included is 10 (as of Oct 28, 2016)




~~NOTOC~~

Observational Health Data Sciences and Informatics

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