Cloud Technology to Enable
and Accelerate Clinical Data Management in Biobanking
Clinical research and pathology laboratories need to expedite research in order
to provide better, faster and innovative treatments to patients. To achieve
this objective, efficient clinical data management solutions are required that
can minimize the time taken for patient care biobanking, and for drug
research—including development and commercialization.
There are several challenges associated with clinical data management. The
primary challenge is heterogeneity and volume of data. Heterogeneous, large
volume data may be largely attributed to the advent of high-throughput methods
for genome interrogation such as microarrays and next-generation sequencing
(NGS) technologies, being integrated with patient care. Managing these data
using manual processes, such as paper and spreadsheet programs, is tedious and
error-prone. The manual processes for clinical data management also hamper
industry collaboration, leading to inadvertent delays.
On the other hand, using traditional clinical data management software is
expensive, as it needs to be run on the institution's IT infrastructure, and
database professionals are required to run and manage the system. When clinical
data needs to be shared in real time to speed up research in a network, where
laboratories are often situated at different remote geographical locations,
traditional systems fail.
For complete poster, please visit: https://cloudlims.com/resources/lims-poster-presentation.html