ACDM 2023
Date: March 12-14, 2023
Location: Barcelona, SpainConnect with the eClinical Solutions team at ACDM 2023
Visit Us in the Exhibit Hall
Our team of experts will be available to connect with you in the exhibit hall and demonstrate how the elluminate® Clinical Data Cloud provides life sciences organizations with greater operational oversight and control over their clinical data.
Panel Discussion | Monday, March 13, 14:40-15:15
Addressing External Data Trends with Automation in the Clinical Data Lifecycle
The majority of clinical trial data now comes from external or non-EDC data sources, with life science companies working with an average of 10 unique data sources per trial, a 25% increase from two years ago and an even greater increase in the overall volume of data. The growing number of external data sources is also associated with longer database lock cycle times. Manual methods of data curation, review and cleaning will not scale as the data streams from external data sources multiply. But modern capabilities for automating the manual are only as good as the data they can access.
This panel session will discuss considerations for foundational data ecosystems that create efficiency, and how the panelists are bringing technology into their processes in response to external data trends. From a variety of perspectives, tech, sponsor and CRO, the panel will discuss the external data trends they are seeing, and offer practical examples for addressing external data with automation within the clinical data lifecycle – from database build, to risk-based approaches for data cleaning, to streamlined data analysis.
Demo Hour | Monday, March 13, 12:00-13:00
Learn how the elluminate® Clinical Data Cloud provides life sciences organizations with greater operational oversight and control over their clinical data.
Session | Monday, March 13, 13:35 – 14:05
Let’s Hear It for the “Human-in-the-Loop” – AI/ML and The Data Manager
With artificial intelligence (AI) and machine learning (ML) we frequently hear about the “human-in-the-loop” (HITL). Clinical development understands the value of AI/ML and there is intent to shift from hype to reality, with companies working to operationalize strategies. Still, many are relatively early in the adoption curve. “Human intervention” often enters industry conversation around AI/ML at a high level, in the context of regulatory guidance, oversight, or job security. But AI adoption means getting more specific about the human’s role – which includes providing necessary supervision and reducing risk, but also fine-tuning models, actioning decisions and finding new, efficient ways to work smarter using this intelligence.
Enter the Data Manager – the data steward and THE key human in the loop for so many of clinical development’s practical AI/ML applications. Let’s talk about what the human in the loop is expected to do with AI/ML, their user experience, and the value at the practitioner level.
This session will discuss making AI/ML real from the vantage point of data management (DM) and share direct perspectives from data management using AI today. With a focus on AI-enabled data review, this talk will highlight clinically relevant AI use cases for DM and address how a data manager uses these outputs to augment their data review and adapts typical workflows. Join this session to dive deeper than the high level and discuss how data management informs, adopts and utilizes artificial intelligence.
Bite Size Demo | Tuesday, March 14th, 12:30-12:45
Learn how the elluminate® Clinical Data Cloud provides life sciences organizations with greater operational oversight and control over their clinical data.