Advancing Data Management Practices through Intelligent Technology
Date: July 29, 2021
Time: 08:00 AM PDT | 11:00 AM EDT | 17:00 CET | 20:30 IST
OVERVIEW
Data management professionals face a clinical landscape that has shifted away from single data sources generated from EDC systems toward a trial environment with exponential growth in the volume, velocity, and variety of data. The clinical trial five years from now will further evolve, so how can data managers transform their approach? Part of the way forward involves a combination of automating common, high-volume tasks using artificial intelligence and focusing data managers’ expertise to review data sets that matter most. Clinical data managers have an opportunity to apply technology and data science principles to yield high-quality data as well as operational efficiencies in the cleaning process.
WHAT YOU'LL LEARN
WHO SHOULD ATTEND
Intermediate and advanced data managers, data scientists, and clinical operations leaders
WHAT ARE THE BENEFITS
Attendees will understand opportunities for the data management discipline to evolve
by embracing AI/ML technology and data science approaches to clinical data, to improve analytics as well as study planning and design.
MEET THE PRESENTERS
Wendy Morahan, Sr. Director, Clinical Data Analytics, IQVIA Technology
Wendy
has 25+ years experience in the life sciences industry with a career spanning
academic research, preclinical drug discovery, and clinical trials, culminating
in a focus and passion for delivering technology solutions that help bring
treatments to patients faster. Wendy is
currently part of the product strategy leadership team for IQVIA Clinical Data
Analytics Suite (CDAS), providing both SaaS solutions for the market as well as
IQVIA’s internal CRO needs. As part of
the CDAS team, Wendy is responsible for strategy, product management
leadership, and Go to Market activities.
WEBINAR REGISTRATION
Group Registration Policy:
Any group registration allows up to 10 people to attend the webinar and to complete the webinar assessment. Credits will be granted on an individual basis upon successful completion of the assessment by the registered participants.
Refund Policy: Participants will receive a full refund if notice is provided in writing via post or email one week prior to the webinar date. If cancellation occurs within the week prior the webinar, participants will be allowed to apply 50% of the webinar fee to the next offering of the same webinar. No refunds will be offered after that time.
Need Support?
Technical support:
Click on the help button on the bottom right, select contact support and email the BlueSky team with any technical issues.
Otherwise e-mail directly to
support@blueskyelearn.com or call +1-888-705-6002 for immediate help.
General support:
The SCDM Learning team is here to help. Contact us at
learning@scdm.org or call +32 232 024 87