Feasibility of an mHealth Closed-Loop System for the Optimization of Parkinson's Disease Treatment.

In this work we present the design of a treatment management system for Parkinson's disease (PD). The system is based on patient and device reported outcomes that combined with patient's health record data provide recommendations to treating physicians. The recommendations are based on a two-level system. In the first level patient data are incorporated in a clinical decision support system (CDSS) which provides a number of treatment alternatives based on expert rules and evidence-based guidelines. The second level is based on Pharmacokinetic and Pharmacodynamic (PK/PD) models enabling the evaluation of the expected benefit of each recommendation. The main components and requirements of the specific system are discussed and a real life example supporting its potential is presented.