Meaningful Integration of Data, Analytics and Services of Computer-Based Medical Systems: The MIDAS Touch

Black, Michaela; Wallace, Jonathan; Rankin, Debbie; Carlin, Paul; Bond, Raymond; Mulvenna, Maurice; Cleland, Brian; Fischaber, Scott; Epelde, Gorka; Nikolic, Gorana; Pajula, Juha and Connolly, Regina (2019). Meaningful Integration of Data, Analytics and Services of Computer-Based Medical Systems: The MIDAS Touch. In: 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS), pp. 104–105.

DOI: https://doi.org/10.1109/CBMS.2019.00031

URL: http://doi.org/10.1109/CBMS.2019.00031

Abstract

The MIDAS consortium is a partnership involving health authorities, and technical big data experts from universities, research institutions, MNCs and SMEs across six EU countries (UK (NI and England), Ireland, Belgium, Finland, Spain and Slovenia), and the USA. The management of big data for 'health in all' poses a significant challenge for health policy makers. This challenge is addressed by the MIDAS project through the development of an integrated solution enabling knowledge liberation from data silos and unification of heterogeneous big data sources that can provide evidence-based actionable information and transform the way care is provided.

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About

• Item ORO ID
• 72249
• Item Type
• Conference or Workshop Item
• Project Funding Details

• Funded Project Name	Project ID	Funding Body
  MIDAS	727721	SC1-PM-18-2016 ‘Big Data supporting Public Health policies’: H2020

• Academic Unit or School
• Faculty of Wellbeing, Education and Language Studies (WELS) > Health, Wellbeing and Social Care
  Faculty of Wellbeing, Education and Language Studies (WELS)
• Copyright Holders
• © 2019 IEEE
• Depositing User
• Paul Carlin