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

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 proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	32nd IEEE CBMS International Symposium on Computer-Based Medical Systems
Publication status	Accepted/In press - 27 Mar 2019
Event	32nd IEEE CBMS International Symposium on Computer-Based Medical Systems - Instituto Maimónides de Investigación Biomédica de Córdoba, Córdoba, Spain Duration: 5 Jun 2019 → 7 Jun 2019 https://www.uco.es/congresos/cbms2019/

Conference

Conference	32nd IEEE CBMS International Symposium on Computer-Based Medical Systems
Abbreviated title	IEEE CBMS2019
Country/Territory	Spain
City	Córdoba
Period	5/06/19 → 7/06/19
Internet address	https://www.uco.es/congresos/cbms2019/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Big data
Data analytics
Health Policy
User-centred design
visualisation

Michaela Black
- mm.blackulster.acuk
- School of Computing, Eng & Intel. Sys - Professor of Artificial Intelligence
- Faculty Of Computing, Eng. & Built Env. - Full Professor
- Computer Science and Informatics Research
Person: Academic
Debbie Rankin
- d.rankin1ulster.acuk
- School of Computing, Eng & Intel. Sys - Senior Lecturer in Computer Science
- Faculty Of Computing, Eng. & Built Env. - Senior Lecturer
- Computer Science and Informatics Research
Person: Academic

Cite this

@inproceedings{02f227acc0124de685036a69a0dcfb1f,

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 {\textquoteleft}health in all{\textquoteright} 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 = mar,

day = "27",

language = "English",

booktitle = "32nd IEEE CBMS International Symposium on Computer-Based Medical Systems",

note = "32nd IEEE CBMS International Symposium on Computer-Based Medical Systems, IEEE CBMS2019 ; Conference date: 05-06-2019 Through 07-06-2019",

url = "https://www.uco.es/congresos/cbms2019/",

}

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.

TY - GEN

T1 - Meaningful Integration of Data, Analytics and Services of Computer-Based Medical Systems: The MIDAS Touch

AU - Black, Michaela

AU - Rankin, Debbie

AU - Wallace, J. G.

AU - Bond, RR

AU - Mulvenna, Maurice

AU - Cleland, Brian

AU - Carlin, Paul

AU - Fischaber, Scott

AU - Epelde, Gorka

AU - Nikolic, Gorana

AU - Pajula, Juha

AU - Connolly, Regina

PY - 2019/3/27

Y1 - 2019/3/27

N2 - 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.

AB - 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.

KW - Big data

KW - Data analytics

KW - Health Policy

KW - User-centred design

KW - visualisation

M3 - Conference contribution

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

T2 - 32nd IEEE CBMS International Symposium on Computer-Based Medical Systems

Y2 - 5 June 2019 through 7 June 2019

ER -

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

Abstract

Conference

UN SDGs

Keywords

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Profiles

Michaela Black

Debbie Rankin

Cite this