Clinical Data Management
Clinical Data Management (CDM) is an important stage in Clinical Research, which leads to generation of high-quality, reliable, and statistically sound data from clinical research. Clinical data management helps collection, integration and availability of data at appropriate quality and cost. It also supports the conduct, management and analysis of studies across the spectrum of clinical research. This program will help you to understand the technical part of Clinical Data Management process.
Program Overview
This Clinical Data Management Module Covers Clinical Data Management Process and practical methods to learn Clinical research date collection, storage, and dissemination.
Understanding and learning Data Management Process is important in Clinical Research Domain. Regardless of your current (or anticipated) role in the research enterprise, a strong working knowledge and skill set in data management principles and practice will increase your productivity and improve your science.
- Introduction to Clinical Data Management
- Data Entry Process in CDM
- CRF Tracking Process
- CRF Design (eCRF & Database Design)
- Data Collection Methodology CRF Annotation
- Edit Checks & Edit Check Programming Concepts
- Discrepancy Management in CDM
- Data Validation & Data Cleaning Activities
- Query Management Process & Effective Query Writing
- Laboratory Data Reconciliation Process in CDM SAE Reconciliation
- Process in CDM QA/QC Process in CDM
- Medical Coding Process Coding with Medical Dictionaries
- Database Lock & Freeze Data Extraction Process Documentation and Document Management System etc
