2 September, 2020, by clincapture-client
ClinCapture is excited to announce Captivate® 3.4 with new features that improve your experience. We’ve enhanced the system and added additional tools.
Here is a breakdown of the changes:
Build
New VAS Scale
Printable annotated case report forms (CRFs)
Customizable date/time format
Ability for users to fully build and configure patient surveys themselves within ePRO
Live
Data import via CSV file
PHI settings based on roles
Query owner export
Improved email alert notifications
Calendar enhancements
Advanced Reporting
Report data by event or in aggregate
Added Log base 10 function
View and test reporting in the test environment
Additional features
Subject calendar visit windows
Automatic triggers to send ePRO surveys
To learn more about our latest features and enhancements, contact your Account Manager at ClinCapture .
Up Next
-
Read more +16 April, 2024
Decoding the Future: How AI is Transforming Clinical Trial Design and Execution
In the dynamic field of clinical research, artificial intelligence (AI) is ushering in a transformative era, revolutionizing every aspect from trial design to execution and analysis. This digital metamorphosis is not just about efficiency; it's about redefining possibilities, enhancing precision, and personalizing the approach to treatment development. ClinCapture's -
Read more +3 April, 2024
Personalized Medicine Through Digital Health: Tailoring Treatment to the Individual
Personalized Medicine Through Digital Health: Tailoring Treatment to the Individual The era of one-size-fits-all medicine is gradually coming to an end, making way for a more personalized approach to healthcare. Personalized medicine, also known as precision medicine, tailors medical treatment to the individual characteristics of each patient. This approach not only considers the patient -
Read more +19 March, 2024
The Ethics of AI in Healthcare: Navigating the Unseen
As artificial intelligence (AI) continues to weave its way into the fabric of healthcare, it brings with it the promise of revolutionized diagnostics, personalized treatment, and streamlined operations. However, the integration of AI into this deeply human and inherently ethical field raises profound questions. The deployment of AI technologies in healthcare setting