Volume : 10, Issue : 01, January – 2023



Authors :

Pradip Ganesh Landge*, Saiprasad Narayan Dachawar, Chetan Shivaji Salgude, Dr. Sameer Shafi, Vishweshwar Dharashive

Abstract :

Clinical Data Management (CDM) could be a crucial innovative clinical analysis, that ends up in the generation of high-quality, reliable, and statistically sound information from clinical trials. This helps to provide a forceful reduction in time from drug development to promotion. Team members of CDM square measure actively concerned altogether stages of trial right from origination to completion. they must have adequate method data that helps maintain the standard standards of CDM processes. varied procedures in CDM as well as Case Report From (CRF) coming up with, CRF annotation, info coming up with, data-entry, information validation, discrepancy management, medical committal to writing, information extraction, and info protection square measure assessed for quality at regular intervals throughout an effort. within the gift situation, theirs is an exaggerated demand to enhance the CDM standards to fulfill the regulative necessities and keep them before the competition by suggests that of quicker commercialization of the product. With the implementation of regulative compliant information management tools, the CDM team will meet these demands. Clinical information Management has to draw on a broad variety of skills like technical, scientific, project management, data technology, and systems engineering to offer valued service in managing information at intervals of the anticipated e-clinical age.
KEY WORDS: Clinical data, clinical data management systems, data management, e-CRF, validation, data entry, discrepancy management.

Cite This Article:

Please cite this article in press Pradip Ganesh Landge et al, A Review On Data Management In Clinical Research., Indo Am. J. P. Sci, 2023; 10(01)./p>

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