
The Significance of Data Analytics in Clinical Trial Data Management
Organizations are leveraging data analytics and data management tools to assess the available clinical data and enhance the quality as well as the accuracy of the trial outcomes.
FREMONT, CA – The emergence of big data and real-time analytics has revolutionized operations across various industries, including the healthcare sector. It has enabled medical organizations to enhance population health management and precision medicine initiatives. However, over the last few years, the pharmaceutical industry has witnessed a steady decline in success rates in the drug development sector.
To drive efficiency and cost-effectiveness, it has become imperative for organizations to adopt progressive strategies to augment the health systems. One such strategy that can assist the medical sector is data utilization. Clinical trials generate over three million data points. The organizations can leverage modern analytical tools to evaluate the troves of clinical data throughout the lifecycle.
See Also: CRO Companies
Often, the drug discovery and development stages end up in failure, with data as the only tangible output. Hence, leveraging this data is critical to increasing the success rate. The sophistication involved in the clinical trials has made data collection that much more difficult. Also, many tests fail to reach the patient recruitment milestones, resulting in monetary as well as research setbacks.
The significance of patient retention during the trials has forced sponsors to focus on enrollment. Organizations have also come to leverage data analytics and data management tools to assess the available clinical data and enhance the quality and accuracy of the trial outcomes.
To eliminate the preventable errors that can crop up during the trial phase, organizations have introduced data review strategies. The assessment of the drug application submissions for new molecular entities by the FDA showed that most of the failures could be attributed to preventable errors during drug dose selection, endpoint evaluation, and result drawing.
The identification and prevention of errors can enable the organizations in passing the applications of more sponsors during the first stage instead of going through the expensive alterations. In this regard, data analytics can provide organizations with valuable insights to drive success rate and develop safe, effective drugs. The sophistication involved in targeted clinical trials has made it difficult to find and retain sponsors. Hence, organizations have to incorporate advanced analytical tools to analyze the clinical trial data and augment the process.
Check Out: Top Drug Delivery Device Companies
Featured Vendors
Tenthpin: The Trusted Advisor for Data-Driven Patient- Centric Value Chain Management in Life Sciences
Process Stream: Into the Depths: How Process Stream Leverages Experience and Embedded Research to Transform Businesses from the Inside Out
Indegene: Leveraging Technology to Drive Growth and Productivity Investing In Innovation In Operations, Analytics and Clinical Technology
MMIS: Global Compliance Platform Streamlines Processes and Delivers Business Intelligence Enterprise-Wide
Acceliant: Leading with Innovation, Facilitating Collaboration, Standardization and Productivity in Clinical Trial Management
Saama Technologies: New Fluid Analytics Engine from Saama Cost-Effectively and Rapidly Resolves Complex Data Analytics Challenges for Life Sciences
Iris Interactive Corporation: Boosting Collaboration and Decision Making Processes to Bring Products
Techsol Corporation: Offering Domain Rich, Regulatory Compliant, Accelerated and Cloud Enabled Techn
Solea Software Solutions: Offering Business Intelligence, Analytics, and Portal Services for Flouris
Xybion Corporation: Providing Interconnected Technology Enabled Solutions for Life Sciences, and oth
EDITOR'S PICK
Essential Technology Elements Necessary To Enable...
By Leni Kaufman, VP & CIO, Newport News Shipbuilding
Comparative Data Among Physician Peers
By George Evans, CIO, Singing River Health System
Monitoring Technologies Without Human Intervention
By John Kamin, EVP and CIO, Old National Bancorp
Unlocking the Value of Connected Cars
By Elliot Garbus, VP-IoT Solutions Group & GM-Automotive...
Digital Innovation Giving Rise to New Capabilities
By Gregory Morrison, SVP & CIO, Cox Enterprises
Staying Connected to Organizational Priorities is Vital...
By Alberto Ruocco, CIO, American Electric Power
Comprehensible Distribution of Training and Information...
By Sam Lamonica, CIO & VP Information Systems, Rosendin...
The Current Focus is On Comprehensive Solutions
By Sergey Cherkasov, CIO, PhosAgro
Big Data Analytics and Its Impact on the Supply Chain
By Pascal Becotte, MD-Global Supply Chain Practice for the...
Technology's Impact on Field Services
By Stephen Caulfield, Executive Director, Global Field...
Carmax, the Automobile Business with IT at the Core
By Shamim Mohammad, SVP & CIO, CarMax
The CIO's role in rethinking the scope of EPM for...
By Ronald Seymore, Managing Director, Enterprise Performance...
Driving Insurance Agent Productivity with Mobile and Big...
By Brad Bodell, SVP and CIO, CNO Financial Group, Inc.
Transformative Impact On The IT Landscape
By Jim Whitehurst, CEO, Red Hat
Get Ready for an IT Renaissance: Brought to You by Big...
By Clark Golestani, EVP and CIO, Merck
Four Initiatives Driving ECM Innovation
By Scott Craig, Vice President of Product Marketing, Lexmark...
Technology to Leverage and Enable
By Dave Kipe, SVP, Global Operations, Scholastic Inc.
By Meerah Rajavel, CIO, Forcepoint
AI is the New UI-AI + UX + DesignOps
By Amit Bahree, Executive, Global Technology and Innovation,...
Evolving Role of the CIO - Enabling Business Execution...
By Greg Tacchetti, CIO, State Auto Insurance
Read Also
