CORDIS

EU research results

CORDIS

Meaningful Integration of Data, Analytics and Services

Fact Sheet

Reporting

Results

Objective

The MIDAS consortium is a partnership involving health authorities in five EU countries and the U.S. and technical big data experts from research institutions, MNCs and SMEs. 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 which 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.

Despite the urgent need and opportunity, the level of e-health deployment, to share medical data is very low. Indeed 52% of the hospitals do not share any medical information with external GPs electronically .

MIDAS will map, acquire, manage, model, process and exploit this heterogeneous health care, governmental and open data to provide an innovative world leading beyond state of the art solution which will inform risk stratification and long term policy-making decisions, demonstrating a positive impact across the EU and beyond.

MIDAS will:
• Provide a data mapping solution
• Use open, social media and citizen data for high level policy analysis
• Use technology to exploit the value of big data for actionable information
• Disseminate best practice on privacy by design, ethics and governance
• Make Europe a leader in e-health platforms

Policy makers, patients and citizens will be co-creators of the solutions, ensuring that these are user validated, feedback is integrated, results are actionable and knowledge created to show benefit across a range of epidemiology challenges. Major health challenges which will be addressed include: ageing population, obesity and mental health. Stakeholders will work together to make Europe a leader in e-health solutions, stimulating new opportunities for industry in this innovative field.

Programme(s)

H2020-EU.3.1.5. - Methods and data

Topic(s)

SC1-PM-18-2016 - Big Data supporting Public Health policies

Call for proposal

H2020-SC1-2016-CNECT

See other projects for this call

Funding Scheme

RIA - Research and Innovation action

Coordinator

UNIVERSITY OF ULSTER

Address

Cromore Road
Bt52 1sa Coleraine

United Kingdom

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 807 970

Website

Contact the organisation

Participants (14)

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DUBLIN CITY UNIVERSITY

Ireland

EU Contribution

€ 418 737,50

KATHOLIEKE UNIVERSITEIT LEUVEN

Belgium

EU Contribution

€ 525 010

FUNDACION CENTRO DE TECNOLOGIAS DE INTERACCION VISUAL Y COMUNICACIONES VICOMTECH

Spain

EU Contribution

€ 480 000

OULUN YLIOPISTO

Finland

EU Contribution

€ 355 750

ANALYTICS ENGINES LIMITED

United Kingdom

EU Contribution

€ 388 250

QUINTELLIGENCE INTELIGENTNO UPRAVLJANJE Z ZNANJEM DOO

Slovenia

EU Contribution

€ 301 875

REGIONAL BUSINESS SERVICES ORGANISATION

United Kingdom

EU Contribution

€ 55 000

Department of Health

United Kingdom

EU Contribution

€ 118 096,25

FUNDACION VASCA DE INNOVACION E INVESTIGACION SANITARIAS

Spain

EU Contribution

€ 137 500

Teknologian tutkimuskeskus VTT Oy

Finland

EU Contribution

€ 499 423,75

SOUTH EASTERN HEALTH AND SOCIAL CARE TRUST NHS

United Kingdom

EU Contribution

€ 112 500

IBM IRELAND LIMITED

Ireland

EU Contribution

€ 273 750

Arizona Board of Regents

United States

EU Contribution

€ 30 000

TERVEYDEN JA HYVINVOINNIN LAITOS

Finland

EU Contribution

€ 30 000

Project information

MIDAS

Grant agreement ID: 727721

Project website

Status

Ongoing project

Start date

1 November 2016
End date

29 February 2020

Funded under:

H2020-EU.3.1.5.

Overall budget:

€ 4 533 862,50
EU contribution

€ 4 533 862,50

Coordinated by:

UNIVERSITY OF ULSTER

United Kingdom

Periodic Reporting for period 1 - MIDAS (Meaningful Integration of Data, Analytics and Services)

Reporting period: 2016-11-01 to 2018-04-30

Summary of the context and overall objectives of the project

WP1 provides the overarching administration, management and coordination of the MIDAS consortium and project, and chairs and coordinates the MIDAS Policy Board. WP2 aims to deliver a solution that addresses ethical and good practice challenges when working with large and varied datasets. WP2 will identify requirements, test systems to engage, inform and assure, and create a solution that will prevent distrust and misunderstanding between those who make decisions and maximise the benefit of data use for policy, and those who supply the data, the public. WP3 will design the architecture and develop modules for integration and harmonisation of multi-site heterogeneous data sources. Data ingestion logic is being developed to ensure data quality. Data integration aims to achieve better consistency and meaningfulness. WP4 will develop an analytics platform consisting of exploratory data analysis, health policy outcome simulators, and privacy preserving machine learning models to support policy decision makers in drafting and evaluating policy. The analytics are built on top of the harmonized data sources, and deliver results to the visualization layer of the MIDAS platform. WP4 also investigates the use of open and social data sources for integration on top of existing data virtualization layers to add value to the actionable information. WP5 will develop an interactive web-based tool to create decision support dashboards for understanding, finding explanations and making decisions from data. The MIDAS Dashboard uses analytics from pilot site health data and data from social media, news and MEDLINE analytics from global sources. The work is completed in 3 tasks: design, implementation and user experience testing with user feedback gathered continuously informing each development iteration. WP6 evaluates the project and identifies project impacts. Evaluation results are fed back to partners. WP7 coordinates MIDAS dissemination, communication and exploitation activities, managing the MIDAS website and social media, organising and participating in events, and creating plans to ensure MIDAS project results can be used and exploited by policy makers across Europe. WP8 ensures compliance with the ethics requirements of the project.

Work performed from the beginning of the project to the end of the period covered by the report and main results achieved so far

Progress beyond the state of the art and expected potential impact (including the socio-economic impact and the wider societal implications of the project so far)

MIDAS Enhancing Policy Process

MIDAS Framework

Project information

MIDAS

Grant agreement ID: 727721

Project website

Status

Ongoing project

Start date

1 November 2016
End date

29 February 2020

Funded under:

H2020-EU.3.1.5.

Overall budget:

€ 4 533 862,50
EU contribution

€ 4 533 862,50

Coordinated by:

UNIVERSITY OF ULSTER

Deliverables

Websites, patent fillings, videos etc. (3)

MIDAS Website

The project website will function as the primary source of information available at all times to all stakeholders providing the following: - Project Activities and outcomes; - Repository for external facing project information, reports and deliverables; - Project consortium details and the Horizon 2020 funding mechanism; - Mechanism for contacting the project team and sign-up to project e-newsletter; - Big Data Challenges; The website will make use of an open source mobile responsive framework, such as Twitter Bootstrap, to deliver a high quality device-agnostic, responsive design, user experience. The website and associated social media platforms for MIDAS will make use of appropriate platform tools for digital analytics to measure and report on digital interaction and allow iterative design based on functional test results.

Brochure, Poster and e-Newsletters 1

Information materials will be developed within the brand platform: logos, social media material, e-newsletters, banners, letter templates, power points.

Brochure, Poster and e-Newsletters 2

Information materials will be developed within the brand platform: logos, social media material, e-newsletters, banners, letter templates, power points.

Open Research Data Pilot (1)

Documents, reports (2)

Project Plan

Good Practice Report 1

Good Practice Report 1 describing current legislation, good practice and process in respect of consent, access, storage and use of personal data throughout the consortium/ member states.

Publications

Conference proceedings (6)

System dynamics modelling in policy level innovation orchestration

Author(s): Pikkarainen, M., Iivari, M., Gomes, J.F., Ranta, J., Ylén, P. and Hurmelinna-Laukkanen, P.

Published in: ISPIM Innovation Symposium, Issue December 2017, 2017

Text mining tools to explore the news in the context of public health

Author(s): Joao Pita Costa, Flavio Fuart, Marko Grobelnik, Gregor Leban, Luka Stopar and Paul Carlin

Published in: Slovenian Conference on Data Mining and Data Warehouses (SIKDD 2017), 2017

Digitalisation of healthcare: Use of data in policy making.

Author(s): Iivari, M., Gomes, J.F., Pikkarainen, M., Häikiö, J. and Ylén, P.

Published in: ISPIM Innovation Symposium, Issue June 2017, 2017

Advancing Open Innovation in Data-Driven Preventive Healthcare

Author(s): Iivari, M. Pikkarainen, M. Francis Gomes, J, Ylen, P. Ranta, J

Published in: 4th World Open Innovation Conference, Issue Dec 2017, 2017

Towards the Integration of Prescription Analytics into Health Policy and General Practice

Author(s): Cleland, B., Wallace, J., Bond, R., Black, M., Mulvenna, M., Rankin, D. and Tanney, A.

Published in: International Conference on Innovative Techniques and Applications of Artificial Intelligence, Issue November 2017, 2017, Page(s) 193-206

Text mining open datasets to support public health

Author(s): Joao Pita Costa, Flavio Fuart, Marko Grobelnik, Gregor Leban, Luka Stopar and Paul Carlin

Published in: Workshop on Information Technologies and Systems (WITS 2017), 2017

Peer reviewed articles (1)

Insights into Antidepressant Prescribing Using Open Health Data

Author(s): Brian Cleland, Jonathan Wallace, Raymond Bond, Michaela Black, Maurice Mulvenna, Deborah Rankin, Austin Tanney

Published in: Big Data Research, 2018, ISSN 2214-5796

DOI: 10.1016/j.bdr.2018.02.002

Other (2)

Meaningful Integration of Data, Analytics and Services – Finnish Pilot (Poster)

Author(s): Juha Pajula, Mark van Gils

Published in: EMBEC 2017, Issue June 2017, 2017

The MIDAS platform: facilitating the utilisation of healthcare big data in Northern Ireland and beyond (Poster)

Author(s): Rankin, D., Black, M., Mulvenna, M., Bond, R., Cleland, B.

Published in: 8th Translational Medicine Conference (TMED8), Issue September 2017, 2017

Project information

MIDAS

Grant agreement ID: 727721

Project website

Status

Ongoing project

Start date

1 November 2016
End date

29 February 2020

Funded under:

H2020-EU.3.1.5.

Overall budget:

€ 4 533 862,50
EU contribution

€ 4 533 862,50

Coordinated by:

UNIVERSITY OF ULSTER

Project information

MIDAS

Grant agreement ID: 727721

Project website

Status

Ongoing project

Start date

1 November 2016
End date

29 February 2020

Funded under:

H2020-EU.3.1.5.

Overall budget:

€ 4 533 862,50
EU contribution

€ 4 533 862,50

Coordinated by:

UNIVERSITY OF ULSTER

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Last update: 17 August 2017

Record number: 205919

CORDIS

Objective

Coordinator

Participants (14)

Project information

Periodic Reporting for period 1 - MIDAS (Meaningful Integration of Data, Analytics and Services)

Project information

Deliverables

Publications

Project information

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