We have implemented all specified goals. We have disseminated our work widely, through academic talks and publications, and also through public-facing activities and working with journalists. Our efforts have led to:
• more than 40 papers and conference abstracts published describing our contributions and presented in various venues,
• update of the project web site with all the relevant information about the project, including papers and other dissemination materials (
http://www.parkinson-manager.eu/(s’ouvre dans une nouvelle fenêtre))
• constant twitter activities (
https://twitter.com/pd_manager_proj(s’ouvre dans une nouvelle fenêtre))
• mentions of the project in various public-facing outlets, and at various keynote talks.
The project ran fluently, with smooth collaboration among partners, and we were able to implement and experiment with more sophisticated app development. Prototype apps for data collection and management of PD have been implemented and evaluated.
The rest of this section describes in more detail the project results.
WP1 organized communication within consortium, efficiently administered project budget, monitored partners activities, released deliverables respecting project constraints and ensuring results quality, handled periodic reports, reviews, amendments and risk monitoring.
WP2 established communication channels and increased the awareness for the project (website, twitter, articles), disseminated the project through various events, conferences, etc., published the project outcomes in prominent (Plos One) and in open access journals (Healthcare Tech. Letters, BMC-Trials, Nutrients), made Data management plan (based on FAIR), Exploitation plan (modular exploitation paths) and IPR definition.
WP3 defined and analysed user (prescribing clinicians, patients, caregivers) needs, decomposed current PD-related users’ tasks, studied expert diagnostic behavior, policy & ethics issues to assess implementation potential of the system. Computational models were developed and validated to help clinicians and caregivers to search and evaluate information and state of the art analysis of methods, approaches etc. used for WP4 studies was done. Open Architecture design was based on FI-WARE.
In WP4 we performed the first clinical study with PD patients. Based on this data, motor and non-motor symptoms analysis has been performed. Cognitive and speech mobile apps were developed. Moreover, a mobile app was developed to track the nutrition habits and medication therapy of the patients. Also we have developed a gamification package for physiotherapy including the “Fruit Picking” game (for improvement of patient’s reach) and the “10 cubes” game (for improvement of fine motoric). The Educational gallery has been developed with 11 recorded videos reflecting the most common situations/symptoms of the patient suffering from PD. Finally, WP4 resulted in the Knowledge Management Platform based on the principles of open architecture approaches and the Internet of Things concept.
In WP5 the patients’ data were mined get better insight in the disease and new knowledge about it was extracted. Decision support task resulted in medication change models based on a combination of data mining results and expert modelling. These models, built in accordance with medical guidelines, are complete, robust, consistent and transparent. Mobile apps were developed and tested, which are interfaces through which all users interact with the PD_manager system and were used in the Big Pilot study in WP6.
WP6 organized and implemented a large Pilot activity with 133 PD patients, evaluated the PD_manager intervention and economically evaluated the resource implications and costs of using PD_manager from the perspective of the health service provider.
WP7 documented all the ethical procedures and documents that were used in the studies with human participants.
