Design de uma plataforma para avaliação da doença de Parkinson fora da clínica

Abstract

This report describes the development of a new iteration of an already existant platform called Datapark, which is used by CNS, which is a clinical institution specialized in the treatment of Parkinson’s Disease. The main goal is to identify any flaws present in the web platform and implement any fixes or changes to it. This platform allows users to analyze their patient’s condition by keeping all of their assessments, as well as any notes written by clinicians in a single, centralized spot. Furthermore, Datapark takes into account sensory data that was gathered during the assessments via accelerometers wored by the patients. This sensory data is then used as a complement to the assessment in order to display further metrics about patient’s performance. In order to create this new version of Datapark, an analysis to the platform’s interface, as well as two separate sessions withe the clinicians were conducted. During these sessions, both subjective and objective analysis were conducted in order to get as much feedback regarding both the current web application, as well as the prototype. The result was a new interface that matches with the clinician’s daily needs. This interface was then taken into account when creating the new, API-driven iteration.