Accelerating clinical trials with best-in-class technology

Software partnerships proven to automate end-to-end trials

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  • Free

Why attend?

Traditional methods of setting up trials and managing large volumes of clinical data rely on time-consuming, repetitive manual processes. Today, our industry is increasingly adopting technology solutions to automate end-to-end clinical trials, from protocol to submission. As a result, it’s vital for organizations to be armed with the right knowledge and strategy when selecting solutions and vendors, in order to avoid pitfalls and pave the way for successful implementation.

Register for this webinar to hear thought leaders from Formedix and eClinical Solutions discuss metadata management, study automation, and ultimately how to gain faster insights with Clinical Metadata and Data Repositories.

Should you build a proprietary platform? Go for a stack solution from a single vendor? Or adopt an MDR-CDR multi-vendor approach? Gain insight into the pros and cons of the various options, as well as the key considerations to address. Learn how integrated MDR and CDR solutions can be leveraged together to maximize speed, quality and efficiencies. Speakers will draw on real-world use cases, and demonstrate live how best-in-class software can work in harmony to drive business benefits and long-term return-on-investment. Don’t miss out - register now to learn how to successfully implement technology for automating end-to-end trials. 

Key learning objectives

  • The pros and cons of different technology approaches.
  • Key considerations when appraising technology solutions, and strategies for successful implementation.
  • The likely challenges and how to navigate them.
  • Business benefits of MDR-CDR integrations demonstrated live.   

Target audience

  • VP of Data Management
  • Director of Data Management
  • Senior Executive Director of Data Management
  • Executive Director of Data Management
  • Associate Director of Data Management
  • Senior Head of Data Management
  • Head of Data Management
  • Senior Data Management Manager


Select a speaker to learn more

Gilbert Hunter
Customer Success Manager

Gilbert joined Formedix over seven years ago as a Technical Writer. Four years ago, the knowledge gained from content development together with his customer service skills marked him out for transition to the Professional Services Team. In his current role, Gilbert provides CDISC and software training, support and consultancy services to Pharmaceutical, Biotechnology and CRO organisations. He helps them save time and money by making their clinical trial design and regulatory submissions more efficient.

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Mark Wheeldon

Mark Wheeldon is the founder and CEO of Formedix. He is an active supporter of the Clinical Data Interchange Standards Consortium (CDISC) which Formedix has been a member of since its inception two decades ago. Mark is a member of the CDISC Industry Advisory Council (CAC), and strongly believes that a more efficient end-to-end clinical trial process lies in the successful implementation of data standards and clinical trial automation technologies.

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Dawn Kaminski
Senior Director, Data Strategies at eClinical Solutions

Dawn has over 20 years of experience in the pharmaceutical industry. She's worked within every level of clinical data management, from Data Coordinator to Senior Director where she participated in or had oversight for more than 250 clinical trials. During her time in the industry,Dawn 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. Dawn serves as a member of the CDISC-CDASH core team, Diabetes sub-team, CDASH CFAST Expanded Leadership Team and former Co-Chair of the CRF Library project.

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Nathan Johnson
Director, Data Engineering, at eClinical Solutions

Nathan is an experienced SAS programmer and manager, with expertise in statistical analysis and reporting, data management, and database development for clinical research. He is a skilled problem solver, interested in asking the right questions and finding innovative and creative solutions. Nathan loves making the complex simple and helping every process and every method become more efficient and more effective.

Nathan specializes in: SAS data step programming, SAS Macro development; Data management, manipulation, and analysis; Development of analysis datasets (including specification development), and tables / listings / figures (including mock shell development) for Clinical Trials. CDISC SDTM and ADaM experience; Relational database design, management, and administration.

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