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Accelerate the Path to Database Lock with Data Science!

FREE SPONSORED WEBINAR · June 6, 2024, 08:00 AM PDT | 11:00 AM EST | 17:00 CET | 21:30 IST
Accelerate the Path to Database Lock with Data Science!
    Join us to explore the next frontier of data management and how to be ready for the future and prosper. Don’t miss these key highlights:
  • Data Managers will share their perspectives on taking on increasing Data Science responsibilities for clinical data.
  • Examples of validation aids that drive operational visibility into the frequency and severity of data issues and areas of concern in ongoing trial conduct.
  • How you can maximize the value of data to avoid repeating trial conduct issues
In an evolving data management landscape where responsibilities, data, and tools are getting more complex by the second, how will data science accelerate your path to database lock? What do you leverage to do your job today, and what skills do you need to master as we step towards the future? This webinar will share perspectives from data managers taking on increasing Data Science responsibilities for clinical data.

Data managers share that rapid access to incoming data that is loaded to a common location and mapped in real time to support data review and data science accelerates detection and resolution of both data issues and potential clinical execution and training issues at the trial sites. Awaiting SDTM mapping and delaying data cleaning until SDTM data is mapped runs up against database lock timelines, does not drive sponsor oversight, and can result in repeating trial conduct issues that can impair clinical trial impact. Data managers need to look for timelines that deliver data for review within days of site and lab submission and that maximize the value of the data for both data cleaning and data science activities.

Validation of trial data must also be timely, in parallel with the accelerated data cleaning activities. Examples of validation aids generated dynamically during data collection developed in partnership with data managers will be provided. These validation aids drive operational visibility into the frequency and severity of data issues and areas of concern in ongoing trial conduct. The validation aids can also drill down into the details of the incoming data to reveal any signals or patterns in conduct that may present opportunities for site retraining, study amendment or other refinements in study conduct that can increase the value of the trial for clinical strategy.

What You'll Learn
Participants will learn about data analytic methods to improve the clinical data review process:
  • Best practices for accessing, standardizing, and analyzing emerging data from safety, operational, and efficacy data sources.
  • Accelerating data review of clinical trials through early data cleaning, standardization, mapping, and aggregation.
  • How implementing these best practices can accelerate the path to database lock.
  • How data managers can prepare for the future and prosper in the ever-evolving clinical data management landscape.
Who Should Attend
This course is appropriate to Intermediate CCDM.

Please note this is a sponsored industry webinar, and therefore content will be commercially oriented. During the registration process, you will be asked to indicate whether you agree that your fist name, last name, email address and company details provided in the registration form can be shared with the webinar sponsor, Revvity Signals Software, Inc.

Meet the Speaker
Philip Ross
Clinical Analytics Champion.
Revvity Signals Software, Inc
Philip Ross seeks to partner with healthcare and pharmaceutical partners in enriching our understanding of novel treatments. Formally a practitioner with Pfizer and Bristol-Myers Squibb, Philip brings deep pharmaceutical experience in visualization of clinical data to drive clinical decision-making. Philip has a Ph.D. in Pharmacology from The Ohio State University

Brent Meyers
Director, Clinical Analytics
Revvity Signals Software, Inc
Brent Meyers has been building analytics solutions and leading technical delivery teams for 20 years. Currently he leads Revvity Signals Software, Inc.´s Clinical business team that directs product management, marketing, and business development. Prior his work at Revvity Signals Software, Inc, he has designed and built innovative clinical, operational, post-marketing, and other analytics solutions at IQVIA and PPD. Outside of the clinical trial space, Brent has also built analytic solutions for NorthopGrumman and led shipboard technical teams as an officer in the U.S. navy. Brent holds a BA from The Citadel and an MBA from Meredith College.

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