Use Cases

Accelerated development processes. More accurate results

The DATAN Analytics AI+ platform can be used in a wide variety of areas of clinical studies, whether from the ECRF structure or to the finished clinical study report — anything is possible.

Typical use cases

eCRF design & validation
Agents create eCRF specifications and plausibility rules automatically. Time saved during set-up, consistent data logic from day 1.
Edit-Check-Specifications/IDPR
DATAN Analytics AI+ generates integrated data review plans.
Data Management Plan (DMP)
Your templates are filled with study parameters and updated automatically. Secure GxP compliance without copy-paste errors.
Monitoring Plan
Your (risk-based) monitoring concept defines the monitoring plan. Targeted resource management and lower monitoring costs.
Statistical Analysis Plans (SAP)
Based on your template, an agent creates SAP, including methodology blocks and sample code. Review times are significantly reduced. Hours instead of days for SAP.
Mock Tables & Table Shells
Automatically generated placeholder tables with format and footnote logic. Early layout approval, fewer iteration loops.
SDTM/aDaM Datasets
Their system complements the CDISC philosophy and the DATAN Analytics AI+ Agent produces the SAS code for the ADaM and SDTM data sets.
Programming of TFL (Tables, Figures & Listings)
Automated SAS code production, verification of SAS code, AI agent instead of double programming. Saving time when creating TFL.
Clinical Study Reports (CSR)
Automatic merging of TFL outputs, narrative text modules and references. Fully formatted CSR draft in hours instead of days.

Would you like to find out which processes can be automated in your study?