Clinical Research Software
Companies are under increasing pressure to replace revenue
sources as blockbuster drugs come off patent. With new drug
discoveries focusing on smaller, targeted populations, and
market dynamics limiting the revenue potential of other drugs,
life science companies are being forced to lower development
costs and bring more drugs to market. This, in addition to
recent drug safety concerns, substantial increases in data
volume, and rising cost pressures, present these organizations
with some very significant business challenges. According to a
Tufts University study, it costs an average of $800 million to
get a new drug to market. Clinical trials account for the bulk
of this number. Fine-tuning existing, paper-based trial
processes to lower costs has reached its limits. Changing to
good clinical research software can help companies realize
significant cost savings, as well as time, efficiency, and
quality gains. The software creates a comprehensive data capture
and management environment to conduct electronic, paper-based,
and hybrid clinical trials as well as facilitates quicker,
accurate and less resource-intensive data capture and validation
through front-end EDC integration. By leveraging the clinical
software site-based electronic data collection, the amount of
time required for data entry is reduced, redundant workflow is
eliminated, and data accuracy is improved. The automated
point-of-entry cleaning capabilities help decrease query cut
resolution cycle times, volume, and lower operational costs. You
choose where to execute edit checks, selecting the system most
suited for resolution. Automated query synchronization moves
final resolved queries back to the system, complete with a
single consolidated query audit trail history. Batch loading and
batch validation, lab loading, lab normal-range checking and
advanced coding features are all fully supported in the system.
Both systems work in an integrated manner to provide the most
comprehensive dataset possible in the shortest amount of time.
Faster data entry and faster data cleaning make clinical data
available earlier for faster database lock.
About the author:
Leeanna is an expert author who writes for Clinical Research
Software