This course aims to teach the concepts of clinical data models and common data models. Upon completion of this course, learners will be able to interpret and evaluate data model designs using Entity-Relationship Diagrams (ERDs), differentiate between data models and articulate how each are used to support clinical care and data science, and create SQL statements in Google BigQuery to query the MIMIC3 clinical data model and the OMOP common data model.
Review of the ETL process
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4.2 (54 évaluations)
- 5 stars50 %
- 4 stars29,62 %
- 3 stars12,96 %
- 2 stars3,70 %
- 1 star3,70 %
MK
4 nov. 2019
What a great course!! Kudos to the professor for being so detail oriented!! I learned a great deal about the clinical data models from this course!!
VT
13 sept. 2019
Good instructor who took time to explain and walked through each steps of the ETL process. Highly recommended.
À partir de la leçon
Practical Application: Create an ETL Process to Transform a MIMIC-III Table to OMOP
In this module, you gather everything you’ve learned to complete a real-world hands-on exercise using ETL methods to convert MIMIC3 data into the OMOP common data model.
Enseigné par
Laura K. Wiley, PhD
Assistant Professor
Michael G. Kahn, MD, PhD
Professor of Clinical Informatics
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