University of Colorado Boulder - Clinical Data Models and Data Quality Assessments
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Clinical Data Models and Data Quality Assessments at Coursera Overview
Duration | 17 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Clinical Data Models and Data Quality Assessments at Coursera Highlights
- 40%
got a tangible career benefit from this course. - Earn a shareable certificate upon completion.
- Flexible deadlines according to your schedule.
Clinical Data Models and Data Quality Assessments at Coursera Course details
- 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.
Clinical Data Models and Data Quality Assessments at Coursera Curriculum
Introduction: Clinical Data Models and Common Data Models
Welcome to Clinical Data Models and Data Quality Assessments
Clinical Research Data Warehouses
Entity Relationship Diagrams (ERDs)
Clinical Data Models
Why Common Data Models?
A Quick Tour of a Common Data Model: i2b2
A Quick Tour of a Common Data Model: OMOP
A Quick Tour of a Common Data Model: Sentinel
A Quick Tour of a Common Data Model: PCORNet
Introduction to Specialization Instructors
Course Policies
Accessing Course Data and Technology Platform
Readings and Course Materials for Module 1
Clinical Data Models and Common Data Models
Tools: Querying Clinical Data Models
A Deep Dive into the MIMIC-III Data Model
Querying MIMIC-III
A Deep Dive into OMOP Data Model
Querying OMOP
Comparing the MIMIC and OMOP Data Models
The OHDSI Community Ecosystem
Readings and Course Materials for Module 2
Tools: Querying Clinical Data Models
Techniques: Extract-Transform-Load and Terminology Mapping
The ETL Task
Structural versus Terminology Mapping
Data Profiling with White Rabbit
Data Mapping with the Rabbit in a Hat Tool
Terminology Mapping
Example mapping of MIMIC Patient to OMOP Person
Readings and Course Materials for Module 3
Techniques: Extract-Transform-Load and Terminology Mapping
Techniques: Data Quality Assessments
Data quality dimensions / fitness for use
Data profiling for data quality assessment
Data quality assessment using SQL
Callahan and Khare rules
OHDSI Achilles and Achilles Heel
Readings and Course Materials for Module 4
Techniques: Data Quality Assessments
Practical Application: Create an ETL Process to Transform a MIMIC-III Table to OMOP
Review of the ETL process
Example: Transforming MIMIC Patient to OMOP Person Steps 1 and 2
Example: Transforming MIMIC Patient to OMOP Person Step3
Example: Transforming MIMIC Patient to OMOP Person Step 4
Example: Transforming MIMIC Patient to OMOP Person Steps 5 and 6
Example: Transforming MIMIC Patient to OMOP Person Step 7
Welcome to Practical Applications!
Clinical Data Models and Data Quality Assessments at Coursera Admission Process
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