Design of a clinical decision support system powered by mhealth for the management of Parkinson’s disease

In this work we present the design of an EHR-agnostic, clinical decision support system (CDSS) enabling personalized medicine in the management of Parkinson's disease (PD) that complements symptomatic treatment by adopting passive (with IoT devices) and active (with mobile apps) patient monitoring and evaluation. The design is largely based on the current literature on CDSS, the findings of recent studies evaluating mhealth for PD and the analysis of user needs that well-defined shared decision making, flexibility addressing variations among clinicians and integration of data and information from various sources as the main design principles. The CDSS functional and dashboard requirements are presented as well as the overview of the platform components.