Streamlining clinical trial review, analysis, and reporting with JMP Clinical
Address clinical trial challenges such as efficiency, cost savings, and data management. Join us on October 10th to explore tools for trend analysis, safety monitoring, and advanced statistics, helping bring innovations to market faster with JMP Clinical software.
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Date: 10 October 2024
Time: 14:00 CEST | 13:00 BST
Duration: 1 hour
Registration: Free
Clinical trials are inherently complex, and in today’s pharmaceutical and biologics landscape, efficiency, cost savings, data management, data volume, and adherence to stringent regulatory requirements are critical challenges. To address these challenges, study teams need ongoing access to tools that allow them to monitor their data interactively and graphically to assess data quality and patient safety. To develop a more complete picture of a novel treatment in the context of current regulatory trends, these same tools should empower the study team to quickly and easily gain additional insight for key data beyond the deliverables programmed to complete study reports.
Join Richard Zink and Valérie Nedbal on Oct. 10 to discover how JMP Clinical, a specialized clinical data analysis software, can enhance your company’s capabilities in clinical trial review, analysis, and reporting. Designed specifically for clinical trial data, JMP Clinical is a ready-to-use, interactive and visual software that offers tools to:
- Explore trends and relationships.
- Identify safety and data integrity issues.
- Perform medical monitoring.
- Produce customized patient profiles and adverse event narratives.
- Enrich data monitoring committee meetings.
- Conduct advanced statistical analysis.
JMP Clinical empowers the study team to make informed decisions throughout the trial life cycle, helping you bring your innovations to market faster, with more confidence - and greater insight - than ever before.
Who should attend: Medical monitors, medical writers, data managers, and clinical operations personnel working in areas such as adverse event/concomitant medications/labs reporting, risk-based monitoring, and data quality/fraud detection.
