Information Technology

KataCliniKa has developed software for data quality and monitoring solutions using existing and original technologies. 

1

Separation

Separation of data analysis structure from database structure and data collections structure results in user-friendly interfaces without violating the integrity of the data.
2

Audit-Trail

True hyper-relational audit-trail allows the user to query the history of every little change made to the data from time of entry to the time of lock and beyond. 
3

Structured Query Language

Experience in MS SQL Server, PostgreSQL, and other major structured query language database management systems
4

CDISC Mapping

Mapping of Clinical Data so that CDISC standards are made feasible.

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