Live elluminate Academy Global Webinar
December 8, 2021
11 AM EST, PST, GMT
Introduction to the elluminate Clinical Data Cloud
Over the past 18 months, the life sciences industry has seen a dramatic acceleration in digitization and technology adoption, especially in clinical development. Many technical capabilities that have been available but still emerging for the past decade are being embraced at scale including both decentralized clinical trial platforms and risk-based quality management. Stakeholders across clinical development along with patient advocates and regulators are energized by the rapid progress the industry has made and the possibilities to speed the overall clinical development process and more fully deliver on the promise of personalized medicines.
In addition to redesigning patient and site experiences, the work in the middle of the clinical data lifecycle – data management, review, synthesis, standardization and analysis has also changed. As the volume, variety and velocity of data has changed in research, so has the need for handling these data and improving the experiences of data managers, clinical trial managers, clinical programmers and statisticians. Moving at “the speed of science” means ensuring that clinical data is available like other utilities, in near-real time to the people that need it. Modern drug development teams are looking for ways to make decisions with accuracy and confidence to ensure patient safety, optimize resources, enhance productivity and to take manual work out of the system. The elluminate Clinical Data Cloud is an advanced platform designed to make the work in the middle of clinical development easier, faster and more transparent.
In this 30-minute webinar you will learn:
- How the volume, variety and velocity of clinical data sources and systems has impacted cycle time
- What a centralized clinical data cloud can do to improve and redesign the current clinical data lifecycle
- How the elluminate Clinical Data Cloud can be used to speed time to insight and increase productivity across data management, medical monitoring, clinical operations, clinical programming and statistical analysis.
Who Should Attend?
- Clinical Operations
- Clinical Data Management
- Clinical Programming
- Clinical R&D IT
- Biostats/Data Sciences
Chief Marketing Officer, eClinical Solutions
Sheila has more than 20 years of experience with 17 years in marketing, product management and strategy roles in life sciences technology companies. She spent 15 years at PHT Corporation (now ERT) in a variety of marketing and executive leadership roles helping to drive the company’s growth and the industry adoption of electronic clinical outcome assessments (eCOA). At eClinical Solutions, Roccio manages all aspects of marketing including branding, communications, lead generation, product marketing and product management. She enjoys finding creative ways to tell customer stories and building products and services that help clinicians, data scientists and technologists do the challenging and important work of bringing life-saving new therapies to market.
Senior Director, Data Strategies, eClinical Solutions
Dawn Kaminksi has over 20 years of experience in the pharmaceutical industry. She has worked in every level of clinical data management, from data coordinator to director, where she has participated in or had oversight for more than 250 clinical trials across various therapeutic areas. During her time in the industry, she has provided consultation to organizations on clinical trial conduct, best practices in data management and data capture as well as developed standardized libraries and templates to support the adoption of CDISC standards. She is an active member of SCDM as a GCDMP SME, course designer and webinar presenter. She serves as a member of the CDISC-CDASH core team, Diabetes TAUG team and CDASH CFAST Expanded Leadership Team.
90-Second elluminate Overview
Transform Data Chaos into Insights with elluminate
This introductory webinar will demonstrate how the elluminate clinical data cloud automates your data lifecycle, increases the speed of your data review times, and improves data quality.