LINK Linking Excellence in Biomedical knowledge and Computational Intelligence Research for personalized management of CVD within PHC

OPPORTUNITIES AND CHALLENGES FOR RESEARCH ON INTELLIGENT ALGORITHMS FOR

PHEALTH

ORLANDO, 17TH AUGUST 2016

P. CARVALHO V. TRAVER

Link

Linking Excellence in Biomedical knowledge and Computational Intelligence Research for personalized management of CVD within PHC

Grant Agreement No: 692023

Start Date: 1st January 2016 End Date: 31st December 2018

Total Budget: 1,010,590.00€

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The Consortium

3 partners 3 countries

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Objectives

Objective 1: To define a research agenda

Establishment of a research forum for intelligent algorithms for PHC in CVD management. Industry: Philips, IntelliCare, VTT, Medtronic, TSB Academic: California University, Georgia Tech, Uni. Zagreb, Professional Societies & Professionals: IFMBE, IEEE-EMBS, European Cardiology

Society, Portuguese Cardiology Society, HL7 Foudation, ISfTeH, several hospitals Decision Makers: Portuguese Health Ministry, Croatian Health Ministry Patients: European Patient Forum, Patients like me

Contact with fundamental stakeholders in the field to help identifying key gaps and barriers

Definition of a research agenda for intelligent algorithms for PHC in CVD management.

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Objectives

Objective 2: To deepen the link between research institutions in a sustainable way Identification, planning and implementation of

common research tracks.

Successful definition of concepts and project proposals for H2020 framework.

Definition and implementation of a structured common data repository and a pool of common resources.

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Objectives

Objective 3: To enhance S&T excellence in intelligent algorithms for PHC for CVD management. Develop research track Exchange and internship program of researchers

Co-advisement of PhD students and post-docs Successful definition of PhD thesis and post-doc themes as

well as competitive grant applications Increase of common journal and conference publications

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Objectives

Objective 4: To increase international impact and recognition

Definition of curricula and training materials for advanced training programs for intelligent algorithms for PHC in CVD management Contribute to IEEE and IFMBE Participation on the Health Informatics Book Series by the Health Informatics WG of OFMBE

Organization of major international conferences and workshops in the field

IEEE-BHI 2016 – Special Session PAHCE 2016 – Special Session & Round Table CBEB 2016 - Workshop IEEE-EMBC 2016 – Special Session Medicon 2019

Co-organization of summer schools

IEEE – Biomedical Signal Processing

Organization of special issues of Journals

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Objectives

Objective 5: To enhance Innovation and Inclusion Establishment of an innovation forum in order to

identify gaps, industrial needs and best practices to foster innovation culture in PHC

Define of a roadmap for EU research widening and participation

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The Approach

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Relevant Stakeholders

Explicit Goals of the Preliminary Research Agenda

Identify with a solid perspective what are the right questions and challenges to be solved from a research perspective

To engage representatives from the different stakeholders in the PHC for CVD field, that will help us to prioritize the key hot topics.

To create a preliminary research agenda that will enhance S&T excellence of LINK institutions but also for the entire community in systems for pHealth solutions for CVD management.

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The WP1 approach

STRATEGICRESEARCH AGENDA

D1.1 Strategic Research analysis

SWOT

M3

D1.3 Action Plan

Workshops

M12

D1.2 Initial

Research Agenda

Delphi study

M6

D1.4 Research Agenda

Workshops and Delphi

study

M30

T1.1 T1.3 T1.4 T1.2 RESEARCH INNOVATION FORUM

T1.5

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Research Innovation Forum (RIF)

Composed by a set of experts from different countries (US, Italy, Spain, Portugal, Belgium, etc.) and different profiles (clinician, decision maker, multinational company, researcher, entrepreneur, patients ’associations).

Up to now, 22 members have accepted to be part of the RIF.

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Focus

Analysis of the State of the Art (SoA) and future trends in pHealth solutions for integrated CVD management

Identification of open research problems and opportunities in algorithms for pHealth solutions for integrated CVD management to support these concepts

Identification of opportunities for Concept development in pHealth solutions for integrated CVD management

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Methodology

Delphi study - Iterative process Statements from internal analysis and discussion with

experts 3 major focus

Analysis of the State of the Art (SoA) and future trends in pHealth solutions for integrated CVD management (13)

Identification of open research problems and opportunities in algorithms for pHealth solutions for integrated CVD management to support these concepts (11)

Identification of opportunities for Concept development in pHealth solutions for integrated CVD management (5)

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Methodology

Top 5 for each point were selected and prioritised Free text to justify reasons – produce qualitative

added value

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Analysis of the SoA and future trends

3. New algorithms are needed to infer knowledge from data in order to practice evidence-based medicine (37)

4. Quality of data is a dimension not to be missed when researchers are inferring knowledge from heterogeneous databases (26)

1. Success of PHC for CVD is fully dependent on data availability (20)

7. It is crucial to have real time telemonitoring to provide PHC services, being possible thanks to mobile services (16)

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Analysis of the SoA and future trends

There a set of statements (2, 6, 10, 11, 12) of interest for half of the experts. These middle priority statements are the ones focused on robots, pervasive telemonitoring, legal issues, ICT based clinical management and creation of individualized behavioural models.

Statements 5 and 13 about data infrastructure and patient models were the less select/prioritized by the experts. Statements 8 and 9 about ethical issues and feature selection were also not selected by the majority of experts.

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Identification of open research problems and opportunities in algorithms for pHealth solutions

TOP PRIORITY QUESTIONS 11. How to support the integration, discovery and use

of clinical knowledge in daily clinical practice? (27) 10. How to personalize models for diagnosis and

prognosis? (27) 5. Which indicators are the key ones for CVD risk

assessment? (26) 6. What are the best strategies to combine data and

knowledge driven learning and modelling approaches? (19)

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Identification of open research problems and opportunities in algorithms for pHealth solutions

MID PRIORITY QUESTIONS 1. How can different sources of information be

integrated, especially on large databases? (15) 8. How can the assessment of cardiovascular

functions and status using wearable technologies can be improved? (14)

9. How can multi modal and multi scale data fusion for robust biosignal processing be improved? (12)

3. How will mobile technologies improve continuous monitoring? (10)

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Opportunities for concept development of pHealth solutions

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What’s next?

Iterative fine tuning of Research Agenda Create the ecosystem:

PhD grants Common proposals Stays Summer schools Articles, conferences, papers and book chapters

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Questions

Do you agree with the identified hot topics? Do you miss anything?

What are the main barriers that we can face for each one of such topics?

Which are the advances do you foresee in each one of the topics for 2020?

For 2020, would you keep the same priorities? Would you change anything?

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