In this simple example, the database includes a Subject table, three visits (Baseline, Six Month and One Year) as well as Consent, Medications List and Adverse Events tables. The QuesGen system provides a completely flexible model and names, structures and variables on each table are determined for each study.

In this simple example, all of the status, randomization (placebo or intervention) and subject progress are stored in the subject table. Each of the three visit table have a unique data structure.

The following screen shot is an example of a data listing form (Note: Displayed data is generated, no real data is included). In this simple form, the user can sort data, select a pre-defined filter, search the existing subject data or add a new subject.

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When a subject is selected from the list above, the tab structure shows the existing tables. Most web-savvy users need little or no training to navigate through the user interface. Using QuesGen, the system navigation mirrors the data structure giving the research staff a good understanding of the variables and table relationships. We can generate our forms very quickly once the data model has been developed.


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