Instem - Information Solutions For Life

Solutions

• Provantis
• Submit SEND solution
• Toxicology Resource Planning
• Information Management
• Regulatory

Instem provides a range of reporting products and services to enable our customers to derive the maximum value from their pre-clinical data.

The Provantis™ family of products provides a comprehensive set of standard tables for raw, individual animal and summary data, for numeric and observational data, and for in-life, clinical pathology, necropsy and pathology data.

Provantis™ is integrated with the industry standard SAS statistical analysis tool. Predefined analyses, including a complex decision tree, can be used and summary tables annotated with the results of the analysis. Customers can also use the full power of SAS to define their own analyses.

Instem also provides a Business Objects Universe that provides simple access to the complex Provantis™ data structures. The powerful and easy to use Business Objects tools can be used by end users to create their own ad hoc queries or unusual table designs. Instem also provides services to users who wish to create more complex tables.

The final product of pre-clinical study is the study report. This draws together a description of the study conduct, summary and individual data tables, statistical, and possibly graphical, analyses, and scientific conclusions. The Provantis™ Protocol and Report Assembly module allows customers to create study reports as Microsoft Word documents in a secure environment by combining tables and analyses produced by other Provantis™ modules, and outputs from non-Provantis systems (eg Microsoft Excel). All contributions to a report can be automatically reformatted as required, whilst at the same time protecting the integrity of the data. Users can develop their own formatting macros or use Instem services if they prefer.

Finally Instem has used its extensive knowledge of pre-clinical data and data collection systems to help customers create Data Marts for specific purposes such as historical data, and Data Warehouses as more general repositories of pre-clinical data.