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Chronic Stress Biomarkers for Early Detection and Prevention of Burnout

Periodic Reporting for period 1 - SOMA Analytics (Chronic Stress Biomarkers for Early Detection and Prevention of Burnout)

Reporting period: 2014-12-01 to 2015-05-31

The project validated the technical and commercial feasibility of a non-obtrusive smartphone-based solution that is able to recognise patterns of well-being and stress for the early detection and prevention of burnout based on the analysis of speech, sleep and typing behaviour.

The project has established the market interest (competitive analysis, willingness to pay) and recruited corporate organizations willing to participate in trials.
Summary of Key Results:

• Presented at industry conferences and generated interest from commercial and industrial partners
• Recruited early adopter companies from different sectors across Europe
• Mapped the competitive landscape and refined SOMA’s unique selling proposition
• Gathered market data on pricing and willingness to pay

It is worth mentioning that SOMA Analytics was named best eHealth solution produced by a European SME 2015 by the eHealth Competition, endorsed by the European Commission.
Corporate wellbeing programmes are primarily reactive services (e.g. hotline counselling services) that are not scalable and have limited impact. In order to reduce costs and increase effectiveness, corporations are looking for solutions that allow employees to proactively manage their own health and well-being.

In 2013, the costs of work-related depression in the EU-27 was estimated to be €617 billion annually34, taking in account costs to employers resulting from absenteeism (€272 billion), loss of productivity (€242 billion), healthcare costs (€63 billion) and social welfare costs (€39 billion).