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Jun 03, 2024 1:00 PM - Jun 03, 2024 4:00 PM

A Guide to Plan and Implement a Clinical Research Data Integration Hub

This is a virtual pre-meeting Short Course in conjunction with the DIA Global Annual Meeting.


Pre-registration required and is an additional fee.

*Please note: Short Courses are stand-alone events. Registration for the main conference, forum, etc. are not mandatory.

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This Short Course will be offered virtually – Join from anywhere! This short course will help participants in better aggregating and harmonizing disparate data streams including EMR to EDC and Biomarkers to EDC streams. As Artificial Intelligence (AI) and Machine Learning (ML) programs become more prevalent, clinical research data scientists and clinical research operations will learn to identify and describe best practices in collecting, aggregating, and harmonizing clinical research data. The need for clinical data integration hubs has become increasingly important as clinical research studies grow more complicated, sites become hybrid and use of IoT becomes the norm. Significant planning goes into the successful setup and configuration of an integration hub. Participants will perform all the preparatory tasks for effective setup of an integration hub utilizing next generation technologies.

Register for two or more Short Courses and receive $50 off each Short Course! Purchases must be made at the same time to receive the discount. Discounts will be reflected on the last page of the cart.

Registered attendees for this virtual Short Course will receive access to the course recording for 2 full months post-course! This allows you to remain flexible with your schedule and not worry if you need to step out momentarily. Have a conflict with the dates of the course, but are interested in the content? Register anyway and you will receive access to the recording!

Who should attend?

Data scientists, data managers, and clinical research operations managers.

Learning objectives

At the conclusion of this short course, participants should be able to:
  • Identify data sources and understand data mapping considerations when aggregating and harmonizing data from disparate sources
  • Design data streams and analyze configuration best practices
  • Create FDA validation documentation templates

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