information framework - ProRec-BE
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Transcript information framework - ProRec-BE
“Wat kunnen wij leren uit Europese
projecten?”
Lessons from European Projects
Jos Devlies, ProRec-BE
Issues addressed
Definition & Domains of secondary use
Main requirements
Overview recent and running projects
Main problems encountered
Conclusions
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Secondary use of health data
“Secondary use of health data applies personal health
information(PHI) for uses outside of direct health care
delivery.” (Charles Safran et al., J.Am.Med.Inform.Assoc. 2007 Jan-Feb; 14 (1): 1-9)
Main domains:
Research: to expand knowledge about diseases & treatments
Payment and Management : see tomorrow
Support public health: epidemiology, prevention
Efficiency and effectiveness of care: outcome analysis
Patient safety: pharmacovigilance
Support care product development / Clinical trials:
Feasibility studies
Recruitment
Trial execution
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Main Requirements
Data availability / accessibility:
Data quality and reliability:
Political and ethical context
Patient consent, if not fully anonym
Issue of proportionality
Correct and validated concepts for a given condition at a given
moment
Sufficiently granularly documented, context of origin included
Reliable and sufficiently structured
Technical interoperability: portability: syntax
Semantic interoperability: different standards, multilingual, different
“schools” (staging, units, etc…)
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Projects: Overview
IMI – Innovative Medicines Initiative
FP7 – Seventh Framework Programme
Private Public Partnership
Budget: 2 Billion €
50/50 EFPIA (Pharma) – European Commission
Separate Calls for proposals
Addressing different domains: ex. ICT, Health, Transport etc….
For us: mainly DG Infso, now DG Connect, also DG Industry
Different “vehicles”: large IP projects, STREP projects, Netwrok of
Excellence, Thematic Networks, Joint Actions (with Member states)
More permanent Institutes & Registries
Re-using actually clinical data
Addressing: patient safety, cross border care,
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“Electronic Health Record systems for Clinical Research”
http://www.ehr4cr.eu
Duration: 2011-2015
IMI Project
Keywords: multicentric platform for protocol feasibility,
patient recruitment, trial execution, integrate EHR and
EDC, business model
Budget: 16.051.512 €
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“Drug Disease Model Resources”
Focus: model based drug development (MBDD)
www.ddmore.eu
IMI project
Duration: 2011 - 2016
Keywords: unified Model Definition Language, efficient
exchange and reuse of knowledge, collaborative drug and
disease modelling and simulation, metadata standards for
system-to-system interchange of models and data.
Budget: 21.165.061 €
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“Pharmacoepidaemiological Research on Outcomes of
Therapeutics by a European Consortium”
Coordinated by European Medicines Agency
www.imi-protect.eu
IMI project
Duration: 2009 – 2014
Keywords: early detection ADR, assessment of adverse
drug reactions, representation of benefits and risks of
medicinal products, signal detection
Budget: 29.810.613 €
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“European Medical Information Framework”
IMI 4th Call
To start
In negotiation process
Keywords:
logistic challenges of an information framework accessible at a level
of detail not available yet
Domains: determination of precipitating factors
pre-dementia dysfunction
prodromal Alzheimer
predictors of metabolic complications of adult & paediatric obesitas
Budget: 60.000.000 €
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Running Projects
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“Develop a scalable and sustainable pan-European
organisational and governance process for semantic
interoperability of clinical and biomedical knowledge”
http://semantichealthnet.eu
FP7 – Network of Excellence
Duration: 2011 –2014
Network of Excellence
Keywords: eHealth infostructure, European Virtual
Organisation for Semantic Interoperability, chronic heart
failure, cardiovascular prevention
Budget: 3.222.380 €
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“Patient Registries Initiative”
Joint Action
www.patientregistries.eu
Duration: 2012-2014
Keywords: comparable and coherent patient registries
governance, analysis for public health and research
Budget: 3.200.000 €
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“Translational Research and Patients Safety in Europe”
Duration : 2010 – 2015
http://www.transformproject.eu
FP7-ICT project : ICT for Patient Safety
Keywords: primary care, diagnostic decision support,
identification of patient eligible for research, controlled
vocabulary, interoperability of EHR data
Budget: 9.006.339 €
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“Efficient Patient Recruitment for Innovative Clinical
Trials of Existing Drugs to Other Indications”
http://www.ponte-project.eu/
Duration: 2010-2013
FP7 project
Keywords: drug repositioning, patient recruitment, clinical
trials
Budget: 3.276.699€
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“Enabling information reuse by linking clinical research
and care”
http://eurecaproject.eu
FP7-ICT project
Duration: 2012 - 2015
Keywords: secondary use of care data, efficient
recruitment for clinical trials, breast cancer
Budget: 13.397.801 €
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“Integrative Cancer Research Through Innovative
Biomedical Infrastructure”
http://www.fp7-integrate.eu
Duration: 2011-2014
FP7-ICT project
Keywords: shared repository of clinical trial data, breast
cancer, predictive models, identify biomarkers, patient
screening in oncology clinical trials
Budget: 5.803.000 €
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“Scalable, Standard based Interoperability Framework for
Sustainable Proactive Post Market Safety Studies”
http://www.salusproject.eu
Duration: 2012-2015
FP7-ICT
Keywords: post market safety studies, pharmacovigilance
Budget: 5.077.781 €
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“From data sharing and integration via VPH models to
personalised medicine”.
http://www.p-medicine.eu
FP7 – ICT
Duration: 2011-2015
Keywords: individualised treatment for patients with
cancer, multi-level data collection (trials and clinical
information), interdisciplinary data analysis
Budget: 13.329.908 € (funding)
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Past Projects
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“Exploring and Understanding Adverse Drug Reactions by
Integrative Mining of Clinical Records and Biomedical
Knowledge”
FP7-ICT Collaborative Project
www.alert-project.org
Feb. 2008 – Jan 2012
Keywords: ADR, Mining of EHR data
Budget: 5.880.000 €
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“Detecting and Eliminating Bacteria Using Information
Technology”
www.debugit.eu
FP7-ICT
Duration 2008-2011
Keywords:
Multi-source data collection (structured and unstructured)
Advanced data mining to detect relevant patterns
Apply knowledge for treatment decision support
Budget: 8.364.797 €
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“Patient Safety through Intelligent Procedures in
medication”
http://www.psip-project.eu/
FP7 – ICT
Duration: 2008-2011
Keywords: ADE, medication errors due to human factors,
data mining,
Budget: 10.175.011
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Agencies & Registries
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Important “agencies”
Drug Safety and Effectiveness Network (DSEN)
Canadian Institute of Health Research
http://www.cihr-irsc.gc.ca/e/39389.html
Goal:
increase evidence on drug safety and effectiveness to regulators and
other stakeholders
Increase capacity for high-quality post-market research
European Programme in Pharmacovigilance and
Pharmcoepidemiology (Eu2P)
http://www.eu2p.org
IMI project
Duration: 2009-2014
Education and training programme
Budget: 7.270.886 €
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Important Agencies (2)
European Drug Utilisation Research Group (EuroDURG)
Part of the International Society of Pharmacoepidemiology
Participates in scientific projects
Discuss on drug utilisation and on quality and cost containment of
therapy.
http://www.pharmacoepi.org/eurodurg/presentation.cfm
European Network of Centres for pharmaco-epidemiology
and pharmacovigilance (ENCePP)
http://www.encepp.eu
Embedded in EMA – European Medicines Agency
Goal: strengthen post autorisation monitoring
Scientific society
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Important Agencies (3)
Observational Medical Outcomes Partnership (OMOP)
http://omop.fnih.org
US project – Foundation for the National Institutes of Health
Public-private partnership to help to improve the monitoring
of drugs for safety.
Keywords: observational data, common data model, develop
and test methods to detect drug safety issues over time
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Main problems encountered
Data quality is still the main issue
Semantic interoperability is in its childhood
Still much free text and unstructured data
Absence of professional tools to interpret text documents
Missing data that are insufficiently granular
Competing / conflicting “commercial” standards
Insufficiently standardised metadata (nature, context,…)
Multi-lingual and multi-cultural issues nearly not addressed
Data privacy is still a fuzzy concept
Misused in order to “protect”.. what?
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Conclusion
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