Clinical Data Models and Data Quality Assessments

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课程主页: https://www.coursera.org/archive/clinical-data-models-and-data-quality-assessments

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课程大纲

Introduction: Clinical Data Models and Common Data Models
Tools: Querying Clinical Data Models
Techniques: Extract-Transform-Load and Terminology Mapping
Techniques: Data Quality Assessments

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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.

临床数据模型和数据质量评估:本课程旨在教授临床数据模型和通用数据模型的概念。完成本课程后,学习者将能够使用实体关系图(ERD)解释和评估数据模型设计,区分数据模型并阐明如何使用每种模型来支持临床护理和数据科学,并在Google中创建SQL语句BigQuery查询MIMIC3临床数据模型和OMOP通用数据模型。

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