ParkinPal: Patient-Centered PD Ambulatory Monitoring System

SummaryThe objective is to designbuildand clinically assess ParkinPalan interactive patient centered system for individuals with Parkinson s diseasePDThe app based platform will enable data driven decisions to optimize treatment using a personalized interface with intelligent algorithms based on quantitative symptom assessmentThe system will include a wrist worn wearable device that communicates wirelessly with an engaging smartphone software application that provides actionable feedback for treatment optimizationWhen optimizing PD therapythe patient is in the middle of a complex system where drug typesdosesand times interact to create fluctuating patterns of motor symptoms and side effectsTools for patients to monitorlet alone act onthese temporal patterns are severely lackingClinical rating scales provide a limited snapshot of symptom severity in the clinicLikewisehandwritten diaries can be burdensomeleading to inaccurate entries and poor complianceThese limitations can make decisions about medication adjustments challenging and require a costly trial and error processWearable technology has shown great promise for providing an objective evidence base for clinical decision makingWe have previously commercialized Kinesiaa clinically validated system to quantify motor symptoms that is being used to measure outcomes in clinical trials and help clinicians with patient careKinesiahowevergenerates reports that require interpretation by a neurologist and does not provide patient facing feedbacksomething patients greatly wantWhile some existing smartphone apps provide tracking of symptomsnone have been clinically validated and it is likely that these simple trackers will see a big drop off in usage as there is no incentive to stay engagedParkinPal will address this major limitation by providing patients with visual feedback and actionable suggestions to discuss with their doctor to optimize treatmentThe primary innovations of ParkinPal include an interactive smartphone app thatuses data mining algorithms to analyze temporal patterns and identify clinical indicators of sub optimal treatment andprovides actionable suggestions for changes that patients can discuss with their doctors to improve treatmentTreatment regimen recommendation algorithms will be based on expert clinician suggestions and adapt based on a knowledgebase of actual outcomes as more and more patients use the systemClinicians will view treatment change recommendations and monitor their patient s progress via a secure web interfaceIn Phase Iwe will use an interactive design process including PD patient focus groups to develop the user interface and validate algorithms for identification of indicators of sub optimal treatmentWe will also work with a clinical consultant to develop an initial knowledgebase of best practices for managing motor complicationsFinallywe will leverage the system in a data collection study to demonstrate feasibilityThe final ParkinPal system will empower patients with PD to become more involved in their disease management and allow a personalized approach to treatmentwhich will ultimately improve symptomatic control and quality of life Narrative The objective is to designbuildand clinically assess ParkinPalan interactive patient centered system for patients with Parkinson s disease to track their symptoms that provides actionable suggestions on ways to optimize treatmentSuccessful commercialization of ParkinPal will improve patient quality of life by maximizing drug effectivenessreducing the time and costs associated with clinic visitsand improve access for geographic disparate populations