Conference Schedule
  • Introduce/refresh attendees on the multiple complex guidances and regulations governing clinical trial transparency
  • Identify key points in the life cycle of a study/clinical program where transparency requirements apply
  • Building capabilities for transparency within your organization
  • Learn how to stand out amongst every applicant
  • Prioritize the best tools that all medical writers should know when looking for their next job
  • How to let others know your services meet their needs 
  • Appreciate the importance of fair balance, which will identify you as a more ethical researcher and your writing as more acceptable to journals
  • Take a case study approach, understand potential defects in study design and a failure to consider alternative conclusions from reported data
  • Participate in interactive exercises to detect “unfair imbalance” more effectively, including two major sources of error: statistical and human
  • Address real challenges while collaborating with your team
  • Rebuild teamwork methodologies around working remotely
  • Instill strategies for updating, marking up and commenting in parallel with your team
  • Receive stakeholders' input and approvals while maintaining the project schedule
  • Discuss the gap in the standard practice of aligning the publication plan with regulatory filings
  • Analyze critical precautions to confirm the validity of the presented data
  • New regulations that affect the publications process- EU policy 70, clinicaltrials.gov disclosures, lay summaries
  • Find out the key difference in regulatory and publications documents
  • Updates and guidelines COPE, GPP3, ICMJE, and Equator
  • When lines get blurry - how to approach difficult situations with integrity
  • Overcome the skepticism of AI integrations in medical writing
  • Grasp practical applications and look ahead to future development
  • Assess hybrid approaches for structuring documentation
  • Discuss updates and guidelines COPE, GPP3, ICMJE and Equator
  • Avoid falsification of data, misappropriation of the ideas of others and improper assignment of credit to ensure ethical standards are met
  • Prevent plagiarism and self-plagiarism in your publications