Presentation carried out during the EMBC'16 conference in Orlando the 17th of August by Paulo Carvalho and Vicente Traver introducing the LINK project and the results of the first iteration with experts about the future opportunities and challenges for research on personalised health care for cardiovascular disease management.
Link - Opportunities and Challenges for Research on Intelligent Algorithms for pHealth on CVD
1. 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
2. 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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4. 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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5. 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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6. 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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7. 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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8. 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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10. 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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12. 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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13. 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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14. 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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15. Methodology
Top 5 for each point were selected and prioritised
Free text to justify reasons – produce qualitative
added value
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16. 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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17. 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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18. 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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19. 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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21. 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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22. 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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