Factors Affecting enhancement of Automation in Clinical Data Management
Standardization of data
Data should be standardized before automated sharing. It will lead
to a faster collection of trial evidence and better analysis, enhanced
transparency, faster start-up times, increasing the predictability of data and
processes, and easier reuse of case reports across different studies. Take Clinical Research Training from the Best Provider in Town.
Interoperability of
EHRs for automation
Although the use of EHRs has not been optimal, they have yielded
great benefits at low costs and less time and presented significant
possibilities for research. The collection, organization, exchange, and
automation of data depends on the effective use of electronic health records
(EHRs). However, EHRs have a history of poor interoperability and insufficient
quality control and security of data. The way data is stored in these records
often varies across institutions and organizations. Sharing the data becomes a
struggle since there is no standard format for EHRs. Learn Clinical Research Course from the Best .
Improvement in AI and
automation
Artificial intelligence (AI) has great potential to identify
eligible patients for clinical trials. However, the reality is quite different
from expectations. The major problem has been the development of sophisticated
algorithms. Other barriers include the unstructured format of data and how to
integrate that data into the clinical workflow of stakeholders. Clinical trial
stakeholders can indefinitely benefit from a data exchange network,
particularly one established between clinical trial sites and sponsors. The
network would collect and analyze data before sharing it with relevant
stakeholders, improving overall quality. Sponsors shall be able to share
important information with sites, including draft budgets and protocol
documents. At the same time, sites shall be able to update sponsors in
real-time on impending matters, such as patient registrations. This would
ensure an unhindered flow of information through integrated systems. However,
sites should remember that not all information can flow freely and should be
careful while sharing protocol-specified data with sponsors. EHRs have
protected health information (PHI) and non-protocol-specific data, which would
put patients’ confidential data at risk if shared.
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