Automating the Clinical Data Pipeline for Enhanced Data Review & Analytics

There has been a dramatic increase in clinical data types, sources and systems in recent years enabling new insights into patient experiences while also presenting challenges in consolidating, standardizing and analyzing these new data streams. The tools for centralizing, integrating, mapping and analyzing data have not kept pace with research and are causing cycle time delays and require numerous manual processes. This webinar will describe how new platforms like the elluminate Clinical Data Platform are automating the ingestion of data from numerous eClinical systems and sources, enabling faster data mapping and standardization, supporting risk based data review and advancing both clinical and operational analytics. Key value drivers for these platforms including results from the Tufts Center for the  Study for Drug Development (CSDD) and eClinical Solutions Data Strategies and Transformation Study will be discussed.

Speakers

Sheila Rocchio, 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, Rocchio 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.

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Dawn Kaminksi, 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.

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