Entities and Attributes in Clinical Research Data Integration
Entities in a clinical research data integration database represent various aspects of research data, while attributes describe their characteristics. Common entities and their attributes include:
Study:
- StudyID (Primary Key): Unique identifier for each clinical study.
- Study Title: Title or name of the clinical study.
- Principal Investigator: Name of the principal investigator leading the study.
- Start Date/End Date: Dates when the study began and ended.
Patient:
- PatientID (Primary Key): Unique identifier for each patient.
- Demographic Information: Patient demographics such as age, gender, ethnicity, etc.
- Medical History: Medical history and conditions relevant to the study.
Data Source:
- DataSourceID (Primary Key): Unique identifier for each data source.
- Data Type: Type of data source (e.g., electronic health records, genomic data, imaging data).
- Data Format: Format or schema of the data source.
How to Design Database for Clinical Research Data Integration
Clinical research depends heavily on the effective integration and analysis of diverse datasets to find meaningful insights and drive scientific discoveries. A well-designed database architecture is fundamental to managing, integrating and analyzing clinical research data efficiently.
In this article, we will learn about How Database Design Principles for Clinical Research Data Integration by understanding various aspects of the article in detail.
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