Whoa! How quickly the time passes. We were able to successfully launch the first use of the Android mobile application in January with the TMI project (specialists taking information on tablets from employees on musculoskeletal issues www.tminstitute.fr), and it is really working out well for them. Since that time, we have been generalising the app (first pics) as much as possible so that when a Voozanoo 4 application is created, the mobile app will require little to no customizing. It was demonstrated internally to top management yesterday and by mid-May we expect to update it on the Google play store from working only with TMI (currently) to working with any Voozanoo 4 created application.

We are living in a YouTube world! Being the documentation source for Voozanoo 4 and its modules for the end users, I have started making some videos so that users can see exactly how certain parts of Voozanoo 4 work. Though this was initially an internal communication, and frankly the videos were very rough, so it made more sense to make clean presentable videos for public consumption. Check out the first two videos on the documentation page. The voice-over is in English, but the examples are in French. I think this method is more in step with the current YouTube on-demand learning style that so many of us tend to do.

The first three quarters of 2016 have seen Voozanoo 4 really take off. The capacity for a "one-time-password" (sms validation code sent to user's telephone) is now available for applications to include if needed. The interfaces for the creation and use of filters, even very complex filters, are very intuitive and one can even apply "approximation" filters. The data listings have seen the addition of two often requested features, that of conditional line colorisation and grouping of lines by the value of a given variable in the list. The archiving system at the variable and dictionary level is completely integrated which means that forms, filters, and lists can use and displayed archived variables and question choice responses.

The new R Stats module is being put to work by our development teams who are encorporating graphs and reporting into customer applications. We are now adding cartography into R and creating a set of simple user commands to be able to make maps based on collected data (ex: area color shading or choropleths). Here is an exemple of one such made using the R module.

The framework team’s interaction with our epidemiology team has yielded fruit. Data analysis and reporting is now, and for the future based on R at EpiConcept. This module is called (through a web service) by a Voozanoo or other application to either represent data or to process collected data and then get back results (graphics, tables, or other). The framework team is currently working on integrating cartography functions. Let the adventuRe begin!