In the field of movement disorders there is a clear need for more accurate and insightful
metrics to support clinicians in their decision-making process. These metrics should be
easy to understand and get presented to the clinician in an intuitive way, to avoid creating
a wall between clinicians and their patients. This could happen if the information
system that presents these metrics requires too much interaction, if it doesn’t show the
relevant data for each situation or even by delaying the information collection and its
processing. Clinical Decision Support Information Systems have been growing in usage
and usefulness, but still, there are cases of miss-implementations, that don’t put the user
in the first place, or that don’t take into consideration their workflows. This leads to less
effective health care and poorly spent resources.
With this project we will produce a customizable web interface, to integrate such a system,
that must have clinicians and their needs as the first priority. This interface has to be
fast and intuitive, while, at the same time, present useful and clinically relevant metrics.
Additional information will be presented as optional and non-intrusive, not requiring
any input from the user unless he wants to interact with it
