Digital Health Europe

mRESIST: a mobile innovation for schizophrenia management

Keywords: Disease Management, mHealth, Schizophrenia
Short description
The m-RESIST solution is an innovative disease management system based on mobile technologies, addressed to empower patients with treatment-resistant schizophrenia, which will engage them, together with the professionals and caregivers, in active participation in therapeutic processes, enabling them to better self-manage their condition. The m-RESIST ecosystem provides patients, caregivers and health professionals the ability to enhance their daily activities through two main interfaces. 1) A mobile app connected to a smartwatch: this pair of devices actively and passively collects and processes data coming from the patient, providing feedback according to three specific therapeutic interventions; namely, symptom management, treatment adherence and healthy lifestyle. Caregivers have access to a subset of functionalities of the mobile app. 2) A web dashboard: used by the health professionals to indicatively upload information related to their patients’ health conditions, as well as to communicate with them, monitor their status, and activate and configure the 3 therapeutic interventions available. All the above are supported via the Sensor Module, the m-RESIST Information Repository (mIR), the Clinical Decision Support System (CDSS), the Recommender, and the Predictive Module.
Evidence
Contribution to citizen empowerment
Maturity
The practice/case/tool is “on the market” and integrated in routine use. There is proven market impact in terms of job creation/spin-off creation or other company growth
Countries
Belgium
Greece
Hungary
Italy
Spain
Geographical scope
Local
Language(s)
French, Greek, Hungarian, Spanish, Italian
Comment
n/a
Submitted in other database or repository of digital health resources that is publicly available
https://digitalhealtheurope.eu/catalogue/, DHE catalogue

Additional information

Relations
to clinicians / care practitioners
Clinical decision support
Health data analytics (Artificial Intelligence/algorithm development and calibration/machine learning/risk stratification tools/etc.)
Care pathway tracking and adherence
Regional and national Electronic Health Record systems
Other (please define below)
Telemonitoring
to patients / citizens
Sensors/wearable devices
Health promotion and wellness apps and wearables/virtual coaches
Reminders/alerts
Self-management/ICT supporting adherence to medication and care-plans
Primary target patient group (age)
Adults (25-64)
Addressed prevention area(s)
Mental health
Use case and care pathway positioning
Disease monitoring, treatment compliance, self-management