What is CDM? Clinical Data Management
Clinical Data Management (CDM) holds the entire life cycle of
clinical data from its collection to exchange for statistical analysis in
support of performing regulatory activities. It primarily focuses on data
integrity and dataflow. Clinical Data Science (CDS) has expanded the scope of
CDM by ensuring the data is reliable and credible. Risk-based data strategies
are essential to consider as the most important component in the automation of
clinical data management. Other solutions include identifying sites for
clinical trials, targeting the right audience, recruiting the right patients,
collecting reported outcomes, obtaining digital consent, remotely screening
patients, and conducting decentralized trials.
Not all data collected is useful for statistical or other
analysis. There has been a steady increase in data volume; CDM can ensure which data needs to be collected to support further
analysis. CDM is responsible for generating structured and unstructured data
from various sources and transforming that data into useful information.
Generating, integrating, and interpreting different data type new data
technology strategies.
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Sponsors have incredibly increased the use of healthcare apps
and digital health technologies to collect other real-world data (RWD) and
reported outcomes. Over 200 new health apps are added every day to app stores.
Phase IV is most likely of all clinical trial phases to witness experiments
with digital health. However, this is unfortunate since it can improve the
efficacy of clinical research trials in various ways.
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