2023 - Clinical Data Management: Leveraging AI and Machine Learning
Date2023-06-27
Deadline2023-06-27
VenueWebinar, USA - United States
KeywordsMachine Learning; Clinical Data; Data Management
Topics/Call fo Papers
Applying artificial intelligence (AI) and machine learning (ML) in clinical data management processes to improve accuracy, efficiency and cost savings
The introduction of AI & ML has come to the clinical trial research industry and offers tremendous potential in realizing the dreams of drug and device manufacturers and patients in having safer and more effective treatments. The biggest hurdles are the current processes that are antiquated and not leveraging digital technology to its maximum potential.
The clinical data management aspect of the trial is one that is currently time-consuming, taking months to complete. It is manually driven, leading to errors, with testing occurring primarily by teams of data managers.
Enter AI & ML to help drive the development of the database, do edit checks and provide a faster and more accurate process shortening the study build timelines by up to 10-fold.
In this webinar, the featured speakers will first discuss the opportunities where AI and ML will have the biggest impact on clinical operations. They will then focus specifically on the data management processes and identify the key areas of inefficiency and where errors occur.
Finally, the speakers will demonstrate how they are solving the issue by applying AI and ML and present the results of the work previously done in this area.
Join the featured speakers as they delve into the transformative power of AI & ML in the clinical trial industry. Learn how these technologies are revolutionizing clinical data management processes.
The introduction of AI & ML has come to the clinical trial research industry and offers tremendous potential in realizing the dreams of drug and device manufacturers and patients in having safer and more effective treatments. The biggest hurdles are the current processes that are antiquated and not leveraging digital technology to its maximum potential.
The clinical data management aspect of the trial is one that is currently time-consuming, taking months to complete. It is manually driven, leading to errors, with testing occurring primarily by teams of data managers.
Enter AI & ML to help drive the development of the database, do edit checks and provide a faster and more accurate process shortening the study build timelines by up to 10-fold.
In this webinar, the featured speakers will first discuss the opportunities where AI and ML will have the biggest impact on clinical operations. They will then focus specifically on the data management processes and identify the key areas of inefficiency and where errors occur.
Finally, the speakers will demonstrate how they are solving the issue by applying AI and ML and present the results of the work previously done in this area.
Join the featured speakers as they delve into the transformative power of AI & ML in the clinical trial industry. Learn how these technologies are revolutionizing clinical data management processes.
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Last modified: 2023-06-22 01:25:40