Dr Michaela Black, Prof. Jonathan Wallace.

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1 Dr Michaela Black, Prof. Jonathan Wallace

2

3 Outline MIDAS - Strengths MIDAS - Consortium Partners MIDAS - Project & Approach Overview MIDAS - Work Packages MIDAS - The Policy Board

4 MIDAS - Strengths Project Funding Review Score: 15/15 Value: 4.5M Duration: 40 months Strong consortium Academic Partners Technical Partners Policy Board Partners Great opportunities Opportunities for improved policies for health using big data across Europe High impact research High impact output potential

5

6 Scientific/Technical Team Policy Board University of Ulster (Coordinator) South Eastern Health And Social Care Trust NHS (SET) Dublin City University (DCU) Health and Social Care Board (HSCB) Business Services Organisation (BSO) NI City of Oulu University VTT: Technical Research Centre of Finland Health Service Executive (HSE) Ireland Finland s National Institute for Health and Welfare (THL) VICOMTECH (Spain) BIOEF Public Foundation of the Health Department of the Basque Government KU Leuven, Department of Electrical Engineering-ESAT (Belgium) Department of Health Public Health England (DH PHE) Industry: IBM Ireland Arizona State University/ Mayo Clinic SME: Analytics Engine (UK) SME: Quintelligence (Slovenia)

7 COLLECTION DATA INTEGRATION ANALYTICS Geographically Diverse Heterogeneous Data-Sets DATA PREPARATION VISUALISATION Midas Secure Interoperable Data Architecture Platform Citizen Focused Effective Informed Policy Development Within Regions, Member States and Across Member States Health Policy as well as Integrated Policy Development e.g. Social Housing Member State Policy Makers & Citizens Member State Policy Makers & Citizens

8 Health Agencies Acute, Primary and Community Care Policy Makers Ministries and Departments of Health, PHE, THL Analytics Data Connection Layer Insurance Visualisation Data Providers HSC, BSO, HSE, ES (Basque), FI, BE, PHE MIDAS Platform Solution Drivers VTT, Vicomtech,SME s, Universities, IBM MIDAS Platform Stakeholders Citizens Social Media & Mydata for Crowd Connection & Value Co-creation

9 1. Access Heterogeneous Data Sources for Policies Including Governance & Consent 2. Data Connector Layer 3. Data Analytics Layer 4. Visualization Tool for Policy makers Increasing Aging Population Less Resources & Finances in Health Care Fractured Heterogeneous Data for Policies Improved Data Access Enhanced Policy Creation & Effectiveness Empowered Patient Current Unstable Infrastructure Stakeholders: Policy Board Members - Testing, Evaluation & User Feedback Leading Solution Drivers MIDAS Platform Supported Stable Infrastructure

10 1. Access Heterogeneous Data Sources for Policies Including Governance & Consent 2. Data Connector Layer 3. Data Analytics Layer 4. Visualization Tool for Policy makers Policy Review,Forecasting,Simulation, Effectiveness Technical Consortium [Machine Learning], Forecasting, Simulation Technical Consortium Connect Internal & External Existing data Sources Technical Consortium MIDAS Platform For Policy Makers Emerging data driven analytics = Meaningful, Actionable Information for Prevention & Risk Stratification = Co-created Benefit to Citizens and Stakeholders Data Sources: OpenData (EU), MyData (FI) Open Data Providers Data Consent & Governance: Ministries of Health in partner regions Stakeholders: Policy Board Members - Testing, Evaluation & User Feedback Leading Solution Drivers

11 Visualisation Layer Data Analytics Layer

12 Improved Policy Process Policy Review Build Evidence for Policy Review Assure Governance Evaluation Collect & Use Data with Key Indicators Explore & Simulate Models

13 MyData in MIDAS COLLECTION DATA INTEGRATION ANALYTICS DATA PREPARATION VISUALISATION Analysing & Policy Makers & evaluations Citizens needs HEALTH ACCOUNT Health nurse view Wellbeing trainer view Continuous feedback and guidance HEALTH CHECK-UP 2.0 Health care provider invites customer for a visit when risk levels rise Early intervention

14 European Commission Partners MIDAS Project Coordination Committee Scientific & Technology Committee Dissemination, Exploitation & Communication Committee Scientific & Technical Manager Dissemination, Exploitation & Communication Manager Project Coordinator Innovation Manager Participant Managers Quality Manager Ethical and Privacy Advisory Group (EPAG) Policy Board Chair & Co-chairs (Policy, Ethics & Governance) WP1 WP1.. WP 8 WP Leaders T1.1 T1.2 T1.3 Task Leaders

15 WP8 Ethics Requirements WP2 -Governance, Consent and Privacy WP6 - Evaluation and Impact Assessment WP5 Policy Visualisation WP4 Data Analytics & Simulation WP3 Data Mapping

16 WP1 - Project Management & Coordination Startup UCD Iteration 1 UCD Iteration 1 Shutdown WP2 - Governance, Consent & Privacy WP8 Ethics Requirements WP2 - Governance, Consent & Privacy WP8 Ethics Requirements WP3 - Architecture & Data Sources WP3 - Architecture & Data Sources WP3 WP4 - Data Analytics & Simulation WP4 - Data Analytics & Simulation WP4 WP5 - Data Visualisation for Public Health Decision Making WP5 - Data Visualisation for Public Health Decision Making WP5 WP6 Integration Evaluation & Impact Assessment; WP2 Evaluation of Prototype; WP5 UI Testing & Validation WP6 Integration Evaluation & Impact Assessment; WP2 Evaluation of Prototype; WP5 UI Testing & Validation WP7 - Project Dissemination, Exploitation & Awareness Raising

17 Work Packages WP Leader WP Title WP1 Ulster Project Management & Coordination WP2 SET Governance, Consent, Ethics & Privacy WP3 VICOMTECH Architecture & Data Sources WP4 KUL Data Analytics & Simulation WP5 VTT Data Visualisation for Public Health Decision Making WP6 DCU Integration Evaluation & Impact Assessment WP7 Ulster Project Dissemination Expoitation & Awareness Raising WP8 Ulster H2020 Ethics Compliance

18 THE POLICY BOARD Prof. Jonathan Wallace Chair of MIDAS Policy Board Paul Carlin (SET) Deputy Chair Co-Chairs Roberto Bilbao Urquiola (BIOEF) and Peter Ylen (VTT)

19 The Policy Board EC Partner Regions - Policy Foci, Data Sources, Data Architectures and MIDAS Platform Evaluation & Dissemination BSO / Dept. of Health (HSC NI) HSE (RoI) MY DATA (Finland) POLICY BOARD PHE (England) THL (Finland) BIOEF (Basque Country) Arizona State University (Lessons to be learned from US Healthcare Model)

20 Thanks

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