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Project Presentation
November 2013
CARRE
comorbidity management
via empowerment and
shared informed decision:
 understanding nature of comorbidity
 informe...
motivation
facts:
 ½ of all chronic patients present comorbidities
 only a few overall management guidelines exist
 pat...
medical domain
chronic cardiorenal disease and comorbidities
 simultaneous (causal) dysfunction of kidney and heart
 dia...
cardiorenal disease & comorbidities
some numbers…
 hypertension  1/3 of adults (US 2008)
 diabetes  8% of overall popu...
Dr. D. O‘ Donoghue,
UK's National Clinical Director for Kidney Care (2008):

“We can count the cost of kidney disease in f...
cardiorenal disease & comorbidities
of major importance
 early detection

prevent

 aggressive management
 preventive p...
foster understanding of comorbid condition

CARRE
approach

calculate informed comorbidity progression

compile personaliz...
data interlinking and clustering for
personalized cardio-renal
disease and comorbidities model
clinical/medical
evidence

...
S&T methodology

visual
analytics

sensors
data aggregators

semantic
linking

decision
support
systems
outcomes
dynamic
cardiorenal
comorbidities
model

interactive
visualization of
the model

data
aggregators for
integration...
work plan
1st year:

analysis and modeling
analysis, design, model & ontology,
initialization of RTD tools design and deve...
2nd year

1st year

milestones
M03  MS1: project successfully initiated
M12  MS2: a comprehensive CARRE information mode...
disseminate & exploit

main focus during

RTD core
of the
project

the entire lifetime

of the project and beyond
(not jus...
target user groups

citizens

• cardiorenal patient
• healthy at risk
• care giver

professionals

R&D

• medical doctors
...
exploitation

technology
transfer
via clustering
technology
implementation
plan

customer
awareness
management
structure

EC

Project Officer
Project Coordinator PC
(Project Manager PM)

Experts
Advisory Board

WP1
Leader
...
gender balance in CARRE
 Coordinator and Project Manager are both women
 WP leaders: 50% representation of both genders
...
CARRE partners
Democritus University of Thrace (Greece)
coordination, user-driven analysis, pilot deployment, evaluation
T...
contact
Coordinator

General Assembly

Eleni Kaldoudi

DUTH

Eleni Kaldoudi
kaldoudi@med.duth.gr

OU

John Domingue
john.d...
CARRE
Project co-funded by the
European Commission under the
Information and Communication Technologies (ICT)
7th Framewor...
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CARRE presentation Nov 2013

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CARRE project presentation - November 2013

CARRE is an EU FP7-ICT funded project with the goal to provide innovative means for the management of comorbidities (multiple co-occurring medical conditions), especially in the case of chronic cardiac and renal disease patients or persons with increased risk of such conditions.

Published in: Technology, Health & Medicine
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CARRE presentation Nov 2013

  1. 1. Project Presentation November 2013
  2. 2. CARRE comorbidity management via empowerment and shared informed decision:  understanding nature of comorbidity  informed estimation of disease progression FP7-ICT-2013-611140 STREP: 6 partners from 4 EU countries duration: Nov 2013 – Oct 2016 budget: 3,210,470€ EC contribution: 2.573,755€  personalized alerting, planning, education
  3. 3. motivation facts:  ½ of all chronic patients present comorbidities  only a few overall management guidelines exist  patients receive fragmented, disease specific care current research on comorbidities management suggests that improved management of comorbid patients may result via:  educational and empowering interventions  shared decision support
  4. 4. medical domain chronic cardiorenal disease and comorbidities  simultaneous (causal) dysfunction of kidney and heart  diabetes and/or hypertension common underlying causes  a number of other serious comorbidities often present nephrogenic anemia, renal osteodystrophy, malnutrition, blindness, neuropathy, severe atherosclerosis, cardiovascular episodes, and eventually end-stage renal disease and/or heart failure, and death  deterioration to end stage renal/heart disease is life threatening, irreversible and expensive to manage
  5. 5. cardiorenal disease & comorbidities some numbers…  hypertension  1/3 of adults (US 2008)  diabetes  8% of overall population  chronic kidney disease  9-16% of overall population  44% of chronic kidney disease is due to diabetes  86% of chronic kidney disease has at least 1 comorbidity  most patients with chronic kidney disease develop cardiovascular disease  chronic heart failure  1-2% of total healthcare costs  end-stage renal disease (dialysis)  >2% of total healthcare costs
  6. 6. Dr. D. O‘ Donoghue, UK's National Clinical Director for Kidney Care (2008): “We can count the cost of kidney disease in financial terms, but the impact on the lives of patients as a result of late identification and diagnosis is incalculable. In the UK, dialysis alone accounts for 2% of the total NHS budget (=150 billion €) and this is projected to double over the next five years. In comparison, the cost of implementing CKD prevention strategies can be modest”. http://www.medicalnewstoday.com/releases/99428.php
  7. 7. cardiorenal disease & comorbidities of major importance  early detection prevent  aggressive management  preventive progression to end-stage cardiorenal disease via  lifestyle and diet management  public health education  monitoring and adherence to therapy  integrated management of comorbidities detect manage
  8. 8. foster understanding of comorbid condition CARRE approach calculate informed comorbidity progression compile personalized empowerment services support shared informed decision and integrated management
  9. 9. data interlinking and clustering for personalized cardio-renal disease and comorbidities model clinical/medical evidence personal monitoring data determine determine current personal medical data current evidence status of patient on disease medical scientific literature comorbidities patient educational material social media presence personal information Linked Data Cloud shifting the focus towards personalized comorbidity management medical evidence
  10. 10. S&T methodology visual analytics sensors data aggregators semantic linking decision support systems
  11. 11. outcomes dynamic cardiorenal comorbidities model interactive visualization of the model data aggregators for integration of heterogeneous sources patient empowerment & shared decision support services data/model driven decision support system
  12. 12. work plan 1st year: analysis and modeling analysis, design, model & ontology, initialization of RTD tools design and development 2nd year: main technological research and development data harvesting, model/RDF population, system visual interface, DSS infrastructure testing 3rd year: enhancements, deployment & validation advanced analytics, integrated services, pilots, evaluation, implications  strong user involvement in all phases of RTD  a clear task-deliverable correspondance
  13. 13. 2nd year 1st year milestones M03  MS1: project successfully initiated M12  MS2: a comprehensive CARRE information model has been developed – 1st draft of RDF ready M14  MS3: a working CARRE RDF scheme and ontology have been produced M18  MS4: data aggregators are efficiently working 3rd year M24  MS5: visual interface to the RDF store is completed M30  MS6: service environment integration has produced a first working prototype M36  MS7: project successfully completed
  14. 14. disseminate & exploit main focus during RTD core of the project the entire lifetime of the project and beyond (not just in the end!!) use & disseminate “wrapper” channel Figure adapted from: SCUBEICT, HAGRID, and IST_BONUS project consortia, “Training Guide: Getting Started with EU ICT Research, SCUBEICT, EU, September 2009 (p. 48)
  15. 15. target user groups citizens • cardiorenal patient • healthy at risk • care giver professionals R&D • medical doctors • insurance company • healthcare system • researchers • industry, SMEs • standardization
  16. 16. exploitation technology transfer via clustering technology implementation plan customer awareness
  17. 17. management structure EC Project Officer Project Coordinator PC (Project Manager PM) Experts Advisory Board WP1 Leader Task Leaders Task Leaders Task Teams Task Teams General Assembly WP2 Leader Task Leaders Task Leaders Task Teams Task Teams WP3 Leader Task Leaders Task Leaders Task Teams Task Teams Patients Advisory Board … … WP8 Leader Task Leaders Task Leaders Task Teams Task Teams
  18. 18. gender balance in CARRE  Coordinator and Project Manager are both women  WP leaders: 50% representation of both genders  Task leaders: 55% representation of women  Team Leaders and GA: 1/3 female representation  Key team members: 1/3 female representation
  19. 19. CARRE partners Democritus University of Thrace (Greece) coordination, user-driven analysis, pilot deployment, evaluation The Open University (United Kingdom) ontology development, semantic interlinking University of Bedfordshire (United Kingdom) visual analytics & data harvesting Vilnius University Hospital Santariškių Klinikos (Lithuania) user-driven analysis, pilot deployment, evaluation Kaunas University of Technology (Lithuania) sensors, data aggregators Industrial Research Institute for Automation and Measurements (Poland) decision support, systems security and data privacy
  20. 20. contact Coordinator General Assembly Eleni Kaldoudi DUTH Eleni Kaldoudi kaldoudi@med.duth.gr OU John Domingue john.domingue@open.ac.uk BED Enjie Liu Enjie.Liu@beds.ac.uk VULSK Domantas Stundys Domantas.Stundys@santa.lt KTU Prof. Arunas Lukosevicius arunas.lukosevicius@ktu.lt PIAP Roman Szewczyk rszewczyk@piap.pl Associate Professor Dept. of Medicine School of Health Sciences Democritus University of Thrace Dragana, Alexandroupoli 68100 Greece Tel: +302551030329 Email: kaldoudi@med.duth.gr Email: carre@med.duth.gr
  21. 21. CARRE Project co-funded by the European Commission under the Information and Communication Technologies (ICT) 7th Framework Programme No. FP7-ICT-2013-611140

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