Sector

Health

We optimise healthcare resources and help patients recover better.

What we solve

  1. Personalised medicine

    Tools that tailor follow-up to each patient, such as personalised rehabilitation plans or objective pain measurement.

  2. Hospital management

    We help plan shifts, patient flows and diagnostic tests so the hospital makes better use of its resources.

  3. Clinical and population data analysis

    We turn years of clinical and population data into information for decision-making, such as which areas or periods see the most demand.

  4. Blood supply management

    We anticipate how much blood will be needed so reserves can be adjusted in time.

  5. Emergency care

    We forecast how many patients will arrive at the emergency department and when, so the service can be reinforced before peaks.

Success stories

  • AsistUP

    Challenge
    Making communication work in a health emergency and in the consultation room, including with people who find it hard to communicate.
    Solution
    An accessible conversational assistant that understands natural language and guides the conversation step by step.
    Result
    A tool that makes communication in an emergency and in the consultation room clearer and more accessible.
    See the application
  • HemoStock

    Challenge
    Adjusting the region's blood reserves without knowing how much will be needed in the coming days.
    Solution
    AI algorithms that forecast blood demand in Asturias so reserves can be planned ahead.
    Result
    A tool to anticipate how much blood will be needed and adjust reserves using data.
    See the application
  • Rehapp

    Challenge
    Keeping people who need long-term care physically active.
    Solution
    An AI-powered app that suggests adapted exercise and personalised nutrition advice.
    Result
    Improved exercise adherence among dependent people, who find it hardest to stay active.
    See the application
  • Emergency department of Hospital Royo Villanova (Zaragoza)

    Challenge
    Knowing when and from where more patients will arrive at the emergency department, so the service can be organised ahead.
    Solution
    We analysed fourteen years of the hospital's emergency visits together with data on weather, pollution and the population of each area.
    Result
    We know what drives demand for each type of emergency and which areas send the most patients, a basis for forecasting peaks.

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