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

Michaela Black, Debbie Rankin, J. G. Wallace, RR Bond, Maurice Mulvenna, Brian Cleland, Paul Carlin, Scott Fischaber, Gorka Epelde, Gorana Nikolic, Juha Pajula, Regina Connolly

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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. Managing big data for ‘health in all’ is a monumental challenge for policy makers. MIDAS is addressing this challenge by developing and delivering an integrated solution that will liberate knowledge from data silos and unify heterogeneous big data sources to provide evidence-based actionable information and transform the way care is provided.
LanguageEnglish
Title of host publication32nd IEEE CBMS International Symposium on Computer-Based Medical Systems
Publication statusAccepted/In press - 27 Mar 2019
Event32nd IEEE CBMS International Symposium on Computer-Based Medical Systems - Instituto Maimónides de Investigación Biomédica de Córdoba, Córdoba, Spain
Duration: 5 Jun 20197 Jun 2019
https://www.uco.es/congresos/cbms2019/

Conference

Conference32nd IEEE CBMS International Symposium on Computer-Based Medical Systems
Abbreviated titleIEEE CBMS2019
CountrySpain
CityCórdoba
Period5/06/197/06/19
Internet address

Fingerprint

Health
Big data

Keywords

  • Big data
  • Data analytics
  • Health Policy
  • User-centred design
  • visualisation

Cite this

Black, Michaela ; Rankin, Debbie ; Wallace, J. G. ; Bond, RR ; Mulvenna, Maurice ; Cleland, Brian ; Carlin, Paul ; Fischaber, Scott ; Epelde, Gorka ; Nikolic, Gorana ; Pajula, Juha ; Connolly, Regina. / Meaningful Integration of Data, Analytics and Services of Computer-Based Medical Systems: The MIDAS Touch. 32nd IEEE CBMS International Symposium on Computer-Based Medical Systems. 2019.
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title = "Meaningful Integration of Data, Analytics and Services of Computer-Based Medical Systems: The MIDAS Touch",
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. Managing big data for ‘health in all’ is a monumental challenge for policy makers. MIDAS is addressing this challenge by developing and delivering an integrated solution that will liberate knowledge from data silos and unify heterogeneous big data sources to provide evidence-based actionable information and transform the way care is provided.",
keywords = "Big data, Data analytics, Health Policy, User-centred design, visualisation",
author = "Michaela Black and Debbie Rankin and Wallace, {J. G.} and RR Bond and Maurice Mulvenna and Brian Cleland and Paul Carlin and Scott Fischaber and Gorka Epelde and Gorana Nikolic and Juha Pajula and Regina Connolly",
year = "2019",
month = "3",
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booktitle = "32nd IEEE CBMS International Symposium on Computer-Based Medical Systems",

}

Black, M, Rankin, D, Wallace, JG, Bond, RR, Mulvenna, M, Cleland, B, Carlin, P, Fischaber, S, Epelde, G, Nikolic, G, Pajula, J & Connolly, R 2019, Meaningful Integration of Data, Analytics and Services of Computer-Based Medical Systems: The MIDAS Touch. in 32nd IEEE CBMS International Symposium on Computer-Based Medical Systems. 32nd IEEE CBMS International Symposium on Computer-Based Medical Systems, Córdoba, Spain, 5/06/19.

Meaningful Integration of Data, Analytics and Services of Computer-Based Medical Systems: The MIDAS Touch. / Black, Michaela; Rankin, Debbie; Wallace, J. G.; Bond, RR; Mulvenna, Maurice; Cleland, Brian; Carlin, Paul; Fischaber, Scott; Epelde, Gorka; Nikolic, Gorana; Pajula, Juha; Connolly, Regina.

32nd IEEE CBMS International Symposium on Computer-Based Medical Systems. 2019.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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