dHealthPD – Digital Healthcare Solutions: Patient Management e-Health Concepts

The vision of dHealthPD (FNR-PEARL programme) is to create a new “ecosystem of digital medicine” by developing a “digital health triangle” consisting of:
a) an IT-platform supported integrated healthcare model for PD,
b) new patient-centred outcome parameters by wearable devices, and
c) predictive data modelling for individualised patient care.

The Digital medicine group will address the following topics:

• Clinical evaluation and validation of innovative real-life target parameters derived from clinical-grade wearables for PD. Wearable sensors providing objective outcome measures will be tested in patients under laboratory and real-life (e.g. home monitoring) settings. Different sensor-types addressing the major body functions according to the international Classification of Functioning Disability and Health (ICF) will be evaluated ranging from gait and mobility, cardio-vascular function, breathing and sleep.

• Digital HealthCare applications. Wearable sensors providing objective outcomes will be integrated into the trans-sectoral healthcare workflow to support personalised clinical decisions in PD.

• Connectivity of real-life patients and their medical data in PD. Generate innovative digital health pathways for PD patients including the implementation of wearable sensors and apps, as well as digitally connecting integrated healthcare provider in Luxembourg.

• Outcomes generated by clinical-grade wearables for PD. The project will focus on developing and evaluating sensor-technologies measuring disease-related functional impairment in PD, such as sensor-based gait analysis, cardiopulmonary regulation, cognitive function and sleep patterns. Technical and clinical validation of the distinct technologies will be conducted to prove their technology readiness for clinical applications.

• Personalised Intelligence developed using “Digital Health pathways” for personalised medicine in PD. The usability, applicability, integration into multidisciplinary care concepts and health-economic efficiency will be analysed and individualised data prediction models will be generated to provide personalised clinical decision support for PD patient care.