Improving clinical trials
using AWS Services
and clinical trials can account for up to two-thirds of the total
research & development costs. The traditional clinical trial
process that was designed for mass-marketed blockbuster
drugs no longer meets the emergent needs of life science
companies. These companies have shifted to more targeted
therapeutics and precision medicine, which are focused on
smaller, geographically distributed patient segments.
The 'Clinical Trials 2.0' program at AWS is geared towards facilitating
wider adoption of cloud-native services to assist with data ingestion
from disparate sources, provide cost-optimized and reliable storage,
and enable analytics. The program also provides the granular
access control, end-to-end security, global scalability, and utilization
of artificial intelligence and machine learning (AI/ML) needed to
advance clinical trials more efficiently.
In 2018, the Clinical Trials Transformation Initiative (CTTI) provided
recommendations regarding leveraging mobile technologies
for capturing holistic, high quality, attributable patient data and
submission to the U.S. Food and Drug Administration (FDA). Using
mobile technologies can help increase trial participation and reduce
the length and cost of clinical trials.
Pioneering companies are turning to the Amazon Web Services (AWS)
Cloud to modernize their clinical trial process
by utilizing analytics and artificial intelligence to optimize studies, securely collaborate and share data, and
incorporate mobile technologies. AWS offers HIPAA-eligible capabilities that can help life science organizations
accelerate trial timelines, optimize processes, and reduce overall trial costs by:
For more information on Pharma and Biotech or other ways AWS can help your organization visit us at: https://aws.amazon.com/health/biotech-pharma/
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
$2 billion
The current cost to bring a new drug
to market is estimated to exceed
Predicting lack of
adherence
Detecting adverse
events
Facilitating global
data management
Utilizing remote
or in-patient site
monitoring
Finding and
recruiting patients
using smart
analytics