
Ensure informed consent for data usage, de-identify and securely store data, allow access on request, share de-identified data with safeguards, and disclose conflicts of interest while upholding data quality.
Design CRFs to capture essential trial data accurately and compliantly. Use paper or electronic formats and a Global Health Network template to guide planning and training.
Explore six data capture methods in clinical trials: electronic data capture, paper-based CRFs, spreadsheet-based collection, custom databases, specialized tools, and hybrid approaches.
Verify a CRF form's completeness and accuracy before data entry into the central electronic data system, checking mandatory fields. Return forms with gaps to sites and proceed with on-entry validations.
Explore how query management in clinical data management handles discrepancies through automatic query generation, site collaboration, and audit-trail documentation, illustrated with OpenClinica queries.
Develop a statistical analysis plan outlining methods and procedures for analyzing clinical trial data, aligned with ICH and CONSORT guidelines, to ensure systematic, transparent analyses and regulatory compliance.
This course contains the use of artificial intelligence.
Welcome to "Clinical Data Management (CDM) - The Ultimate Overview," a comprehensive course designed for professionals and students eager to master the essential principles and practices of clinical data management. In the fast-paced world of clinical research, effective data management is crucial for the success of trials and the integrity of research findings.
What You Will Learn:
Fundamentals of Clinical Data Management: Understand the key concepts, terminology, and processes involved in CDM, including data collection, validation, and analysis.
Regulatory Compliance: Gain insights into the regulatory landscape governing clinical trials, including Good Clinical Practice (GCP) and the role of regulatory authorities such as the FDA and EMA.
Data Management Lifecycle: Explore the entire data management lifecycle, from study design and data collection to database lock and reporting, ensuring you grasp each critical step.
Data Quality Assurance: Learn techniques for ensuring data accuracy and reliability, including data cleaning, validation checks, and audit trails.
Technology in CDM: Discover the latest tools and technologies used in clinical data management, including Electronic Data Capture (EDC) systems and data analytics software.
Practice: Practice your new skills with quizzes and practice tests.
This course is ideal for clinical research associates, data managers, biostatisticians, and anyone involved in clinical trials or interested in pursuing a career in clinical data management. Whether you are a beginner or looking to enhance your existing knowledge, this course provides valuable insights and practical skills.
Enroll today and take the first step towards mastering Clinical Data Management!
This course contains a promotion.