Clinical data management (CDM) has changed from being an essentially clerical task in the late 1970s and early 1980s to a highly computerized, highly specialized field today. And clinical data manages have had to adapt their data management systems and processes accordingly. Practical Guide to Clinical Data Management steers you through a basic understanding of the role of data management in clinical trials and includes more advanced topics such as CDM systems, SOPs, and quality assurance. This book helps you ensure GCP, manage laboratory data, and deal with the kinds of clinical data that can cause difficulties in database applications.
With the tools this book provides, you'll learn how to:
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include:
ELEMENTS OF THE PROCESS
Data Management Plan
Study Setup
Tracking CRF Data
Entering Data
Managing Lab Data
Identifying and Managing Discrepancies
Collecting Adverse Event Data
Coding Reported Terms
Creating Reports and Transferring Data
Closing Studies
Identifying & Managing Discrepancies
CDM SYSTEMS
Where Systems Come From
Choosing Vendor Products
Implementing New Systems
Systems Validation
Test Plans
Migrating Legacy Data
Change Control
SPECIAL TOPICS
Creating Data Standards
SOPs and Guidelines
Working With CROs
CRF Design Considerations
Remote Data Entry
Autocoder Algorithms
APPENDICES
Appendix A: Data Management Plan Outline
Appendix B: Database Design Document Outline
Appendix C: Validation Plan Outline
Appendix D: Test Plan Outline
GLOSSARY
SELECTED READING
INDEX
Book by Prokscha Susanne
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Da: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
Hardcover. Condizione: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less. Codice articolo G1574910434I2N00
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