Phase 2 Project Abstracts

VR-RELIEF is an innovative eHealth solution, which can be potentially integrated with an immersive Virtual Reality (VR) system, to improve self-management, empowerment and engagement in treatment for patients with chronic pain. Following the work done during Phase 1, our consortium envisages a solution composed by the following four components:
1) A HARDWARE PLATFORM: a smartphone, optionally integrated with a compatible smartwatch and a VR-Headset.
2) A SET OF SOFWARE APPLICATIONS (APPs) for both clinicians and patients, including:
1. a Virtual Coach (DR. Relief), i.e. an intelligent system which will be able to:
a. Collect and elaborate patients’ information using a bio-psychosocial framework. Data regarding the patients will be collected:
i. directly from patient (Dr. Relief will assess them using validated questionnaires);
ii. from the clinicians data entry;
iii. indirectly and without need for data entry, thanks to functionalities embedded in the hardware.
b. Profile the patients and cluster them according to their clinical characteristics: data analysis will allow the profiling of the patients, which will be the first step for the provision of (intelligent) personalized care. In addition, using machine learning models the system could possibly anticipate future trends (e.g. worsening conditions).
c. Provide personalized reminders and feedbacks for the patients to enhance their adherence to the treatment and monitoring the treatments results.
2. A Library of VR applications for pain treatment, relaxation, rehabilitation.
3) A CLOUD-BASED PLATFORM: an interoperable and open platform, remotely connecting users, professionals and Internet-of-Things (IOT) devices. The clinicians
will have the possibility to connect to a specific web portal where he/she could access user-friendly dashboards containing a number of clinically relevant elaborated data regarding their patients.
4) TRAINING CONTENTS AND SOCIAL COMMUNITY TOOLS: a repository of certified materials for patients’ training and self-management and a social community tool for patients and their caregivers.
During RELIEF’S Phase 1, Linkcare has checked the feasibility of the initial solution that was presented. For Phase 2, Linkcare proposes the development of a solution that will be flexible enough to tailor to the needs of each of the sites, to cover the situations faced by them based on the patient journeys.
The solution will use “smart-forms”, which is an intelligent way of interacting with patients to collect details regarding their health evolution and avoid repeating questions or asking not needed information. These forms have the ability to adapt the questions depending on the input as the patient fills them. The solution aims to collect in a systematic way all pain history data that may not currently be available in the reference in a way the patient condition information can be effectively used to decide the assignment to the right pain unit professional.
Once an initial diagnosis is set and following the understanding of the patient’s expectation and therapeutic expected benefits, the physician and the patient will agree on a personalized self-management plan that will be set up in RELIEF’s platform. Patient self-management and follow up modules will help patients get empowered and have more control over their disease.
A set of follow up tools will allow to monitor the level of engagement, compliance and accomplishment of the patient’s personalized plan.

Implementation of the solution
Linkcare will focus its efforts in providing the right interface to patients, to make the process as intuitive and simple as possible, to avoid patients not following or dropping the personalized plans.
The system will be prepared to ensure interoperability with existing IT infrastructures to avoid the creation of information silos and help the implementation of comprehensive electronic medical records.
RELIEF challenges require coverage of chronic pain care processes for all involved stakeholders, based on the acquired knowledge of the buyer’s group pain units during the previous phase, but also thinking on a flexible approach to be adaptable to other pain unit contexts. ARTICA’s prototype targets to cover RELIEF challenges from all stakeholders perspectives by an innovative integration of generic functionality and the implementation of key innovative modules to create a platform that offers different functionality to each stakeholder (basically patient, caregiver, nurse, doctor and administrator) and that is flexible enough to be adapted to different care contexts (Such as each RELIEF buyers group pain unit context) based on professionals involved, available resources, care services organization, ICT system interoperability or any other aspect.
ARTICA projected solution focus to cover all Relief challenges by means of a personalized multi-device application that offer: training and clinically validated information for patient education to improve its knowledge and self-management capabilities; treatment follow up and gamification to improve patient adherence; communication to support patient integration with its healthcare and also with safe social networks to support the contact with other patients; and integrated patient data with physical, clinical and social information to better support and understand disease situation by patients and professionals.
ARTICA’s proposed solution is based on design principles of flexibility, scalability, interoperability and access for all to have impact on Health, Quality of Life and Care efficiency generating value for the RELIEF partners but maintaining a flexible approach to be adaptable to other pain unit contexts and better support its future commercialisation.
To implement this project ARTICA has a multidisciplinary team conformed by clinical, research and technical experts to work on the different aspects of the project and brings coordination experience from ICT4Life project which also part of the knowledge and platform developed will be of help within this project.
Epione™ is an innovative pain management solution that takes a holistic approach to tackle chronic pain by empowering patient. Epione™ provides state of the art functionality on patient education, patient doctor collaboration, patient self-management and monitoring tools. Epione™ builds on the eHealthPass™ platform that enables rapid deployment of these advanced features in a clinic integration ready environment. Epione’s vision is to provide a truly patient-centered treatment experience that promotes the notions of evidence-based practices and precise and personalized medicine.
The product’s key innovative concepts include unobtrusive monitoring of real-life evidence of treatment effects based on IoT integration and analytics and collection of digitized, clinically valid questionnaires and scales, visual analytics & decision support platform, which is based on intelligent data analytics algorithms for the timely feedback of treatment dynamics, chatbot-enabled assistant for motivation guidance and development of digital biomarkers, as valid clinical endpoints for clinical trials – patient stratification.

The solution is prepared for future integration with any health information system. Also, it allows multiple application and data from multiple sources to be integrated to our solution by:
• using well known IHE profiles and integration standards
• using well known standards regarding health records in order to homogenize health-related data from multiple sources

Security wise, Epione™ prevents non-authorized accesses, can integrate existing authentication mechanisms and uses secure communication protocols for information exchange. Furthermore, it is abided by the European Regulation on personal data protection and includes an agile way to solve any vulnerability detected in the project life cycle.
Epione™ aims at improving the efficiency of patient visits to Pain Units, by reducing the time that is needed by the clinicians to obtain patient medical background. Also, it incorporates several innovative elements, with respect gathering clinically relevant information from patients, prior to the baseline visit and enhancing the efficiency of the visits.

This project has received funding from the European Union’s Horizon 2020 programme under grant agreement no 689476.