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AutoMatic and Personalized Mental HealthCare Solution

Project description

New app to help treat mental disorders

Mental disorders include depression, bipolar disorder, schizophrenia and other psychoses, dementia and developmental disorders, including autism. The burden of mental disorders continues to grow with significant impacts on health. Treatments for mental disorder work and suicide attempts are partly preventable with proper and real-time monitoring. In this context, the EU-funded MindCare project will develop a smartphone app that gathers data about the patient through a wearable device. The data is then transformed into interpretable information so that doctors and caregivers can intervene. The overall aim of this app is to improve quality of care and step up recovery as well as reduce hospitalisation. Most importantly, it empowers patients for better self-management.

Objective

The need: There are over 1,100 million people who have a mental disorder worldwide1, of which 268 million suffer1 from depression and 800,000 people yearly die from suicide2. According to WHO, mental illnesses are the leading causes of disability-adjusted life years worldwide3, and depression accounts for one third of this disability4. In 2010, the global cost of mental illness was estimated at nearly $2.5 trillion (two-thirds in indirect costs) with a projected increase to over $6 trillion by 2030.5 In spite of these figures, treatments for mental disorder work and suicide attempts are partly preventable if doctors and caregivers monitor the treated patient mental health progression adequately.6 However, the healthcare and treatment of psychiatric patients are still inefficient because there is a lack of systems providing real-time information of the patient.

Our solution: In response, we have developed MindCare, a mHealth solution that addresses the current lack of a real-time heath status monitoring for mental disorder patients. MindCare is a smartphone Apps (Fig. 1) that: 1) passively gathers data through a wearable device about the patient; 2) transforms the data into interpretable information using Artificial Intelligence (AI) for doctors, patients and caregivers; and, 3) integrates and displays the patient information, providing personalized information so that doctors and caregivers can quickly change the patient treatment or intervene at the right time.

As a result, MindCare facilitates diagnostics, improves the quality of care, accelerates recovery, saving costs of treatments (€340,000 to €6.3 million/year), lowers the days of hospitalizations (~20%), and empowers psychiatric patients for a better self-management.

Call for proposal

H2020-EIC-SMEInst-2018-2020

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Sub call

H2020-SMEInst-2018-2020-1

Coordinator

EVIDENCE-BASED BEHAVIOR, SL
Net EU contribution
€ 50 000,00
Address
AVENIDA GREGORIO PECES BARBA 1
28919 LEGANES
Spain

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Comunidad de Madrid Comunidad de Madrid Madrid
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost
€ 71 429,00