Clinical Trials Accruals

The Clinical Trial Accruals application provides a self-service environment for real-time clinical trial accrual data visualization for awareness, reporting, and decision making. Researchers and administrators can quickly and interactively evaluate study data such as monthly accruals, longitudinal trends, study details, patient demographics, health equity, rurality, and trends for oncology groups or individual studies. 

Features: 

• Filter Multi-Select:
  • The ability within many individual data filters to select multiple data options, providing deeper self-service data customization and simplified access to complex healthcare data. 
• Data Visualization Options:
  • Visualization options include bar graphs, longitudinal graphs, table views, accrual trend at-a-glance indicators, and a feature to toggle on and off trend comparison lines. 
• Data Download Options:
  • Built-in data governance supports access role configurations and download auditing ensuring data privacy and security for downloading graphs and de-identified data sets. 
• Simplified Results Workflow:
  • Data filter selections on the Accruals page automatically carry over to the Protocol Trends page so less time is spent selecting filters and more time exploring data. 
• Search and Enhanced Context:
  • Several features improve workflow efficiency and productivity including search options for study results, pagination to organize results, study open and close dates for quick context, and displaying accrual numbers when hovering over a graph point. 

The Accruals application is built on our proprietary Hyperion enterprise healthcare data platform, delivering real-time data interoperability, management, governance, and analytics capabilities by integrating >100 internal and external data sources, providing the foundation on which all our applications are developed.  

Data Specifications: 

Clinical Trial Design Data Filters 

• Date Range 
• Clinical Research Category: interventional, non-interventional, observational, and more. 
• Primary Purpose: 10 choices including diagnostic, treatment, prevention, screening, and more. 
• Trial Phase 
• Patient Enrollment Status 
• Study Sponsor 
• Clinical Management Group 

Patient Demographics Data Filters 

• Race 
• Sex 
• Gender Identity 
• Sexual Orientation 
• Age Range 
• Ethnicity 
• Deaf/Hard of Hearing 
• Rurality: urban vs rural