Challenge 5 Towards sustainable and personalised healthcare

1
Challenge 5-Towards sustainable and
personalised healthcare

• ICT for Health
• DG Information Society Media
• European Commission

2
Challenges for European Health Systems

• Pressure on healthcare systems
• Citizens expectations for high-quality care
• Demographic changes
• more people will require prolonged care
• Increased prevalence of chronic diseases
• substantial part of the overall healthcare costs
• Medical accidents
• Staff shortages
• Reactive model of healthcare delivery
• after appearance of symptoms
• Rising healthcare costs
• faster than the economic growth itself
• How to offer high-quality affordable care?

3
Needs and Trends

• Require changes in the way
• Healthcare is delivered
• Medical knowledge is managed transferred in
  clinical practice
• Emphasis on
• Remote monitoring and care
• continuity of care - health services outside
  hospitals
• Efficient disease management
• monitor patients over extensive periods of time
  (at home)
• Prediction and prevention of diseases
• enhanced quality of life
• avoid costly treatments - reducing healthcare
  costs
• Individual citizen with stronger role in
  healthcare process

4
Strategic Directions

• Mix of policy and research actions
• Shift from hospital-centred to person-centred
  systems
• Shift from reactive to proactive (preventive)
  healthcare
• Policy instrument
• Action Plan for a European eHealth Area
• COM(2004) 356
• Research instrument
• Seventh Framework Programme for Research (FP7)

5
Strategic Research Orientations

• Three main directions
• Personal Health Systems
• Patient Safety
• Virtual Physiological Human

6
European Commission eHealth in FP7 The Virtual
Physiological Human
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Outline

• VPH within eHealth activities
• VPH building on BMI and HealthGrid
• VPH concept techno
• VPH FP7 Call 2

8
ICT for Health Summary of eHealth Current
activities
Basic research
Long term RD
BioMedical Informatics
Virtual Physiological Human
HealthGrid
Mid term RD
Personal Health Systems (wearables) ICT
for Patient safety
Support to Deployment eHealth Action Plan
Independent Living
EHR interoperability
Deployment
5 years
10 years
15 years
Time to results
9
Outlines

• VPH within eHealth activities
• VPH building on BMI and HealthGrid
• VPH concept techno
• VPH FP7 Call 2

10
Biomedical informatics background

• Biomedical information is collected, stored and
  processed on/at
• Different Levels molecule, cell, tissue, organ,
  patient, population
• Different Context - care, research, education,
  policy/management
• Different Representation format, structures,
  ontologies,..
• Different places
• - Clinical info resources health records,
  clinical research databases, pharma databases
• - Biomolecular info resources DNA protein
  sequences, microrarray data, protein
  interactions, human genome annotations ..
• - Public health info resources epidemiological
  data and studies, national and WHO databases on
  diseases,

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Outline

• VPH within eHealth activities
• VPH building on BMI and HealthGrid
• VPH concept techno
• VPH FP7 Call 2

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The Virtual Physiological Human - concept
Basis is the International physiome project
www.physiome.org
Computer models of the human physiology, which
includes the interaction across temporal and
spatial scales from molecules to cells, tissues,
organs, up to the whole human body
New basis for Personalised (Patient-specific)
healthcare solution Early diagnostics
Predictive medicine
13
The Virtual Physiological Human - technology

• Organised collection of computational frameworks
  and ICT-based tools for multiscale models of the
  human anatomy, physiology and pathology. Patient
  specific model and images including molecular
  images
• Technologies involved
• Data mining, knowledge discovery tool, semantic
  integration, databank, biomedical imaging,
  modelling, simulation and visualisation
  techniques, HealthGrid (infrastructure and tools)

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Computational Models of the Human Body

• Reproduce Anatomical and Functional properties of
  physiological systems at various scales
  (molecules, proteins, cells, tissues, organs,
  systems, body, etc.)
• Integrate Geometry, Physics, Chemistry,
  Physiology
• Help understand normal or pathological evolutions
  
• systems cardio-vascular, Central, Nervous,
  Digestive, Reproductive, etc.

nano
ATP
micro
sarcomeres
meso
fibers
macro
INRIA in silico electro- mechanical cardiac model
N. Ayache, INRIA
organ
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Outline

• VPH within eHealth activities
• VPH building on BMI and HealthGrid
• VPH concept techno
• VPH FP7 Call 2

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Objective 3.5.2.1 Virtual Physiological Human

• Technical focus on
• Patient-specific modelling and simulation
• Target molecular, cell, tissue, organs or
  systems
• Modelling simulation of organs/systems
  targeting specific clinical needs.
• Go beyond the state of art of available models
• Models should be multilevel when appropriate
• Better understanding of the functioning of the
  organs
• New insight into the response to physiological
  changes

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Objective 3.5.2.1 Virtual Physiological Human

• Technical focus on
• Data integration and knowledge extraction
• Target creation and formalisation of patient
  specific knowledge from multi-level integration
  of biomedical data
• Requirement open distributed health
  infrastructures and tools
• Focus
• Coupling scientific research data with
  clinical/empirical databases
• Linking genotype data (genetic markers, pathways)
  with phenotype data (clinical data)
• Image processing assessing disease
  evolution/presence
• Data mining and image processing across many
  biological levels

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Objective 3.5.2.1 Virtual Physiological Human

• Application focus on
• Patient-specific modelling and simulation b)
  Data integration and knowledge extraction to be
  demonstrated on c) following clinical
  applications
• Medical simulation environments for surgery
• Environment used for simulation, training and
  planning of surgeries
• Prediction of disease or early diagnosis (patient
  specific)
• knowledge and predisposition obtained from lab
  tests, biomedical imaging (imaging bio-markers
  and other data)
• assessment of efficacy/safety of drugs
• Use patient specific computational models to
  assess the drugs.
• Alternative screening for clinical trials

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Objective 3.5.2.1 Virtual Physiological Human

• Integrating action (NoE)
• in multilevel modelling and simulation of human
  physiology
• sharing of knowledge
• multidisciplinary training programmes
• reusable software tools
• Coordination Support Actions
• Enhancing security and privacy in modelling and
  simulation addressing
• patient data processed over distributed networks
• use of genetic data
• Trustworthy environment
• International cooperation on health information
  systems based on Grid capabilities

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Objective 3.5.2.1 Virtual Physiological Human

• When Call 2
• Instruments (Draft not yet agreed)
• (a-c) CPs 62M (minimum 22M for IP and
• Minimum 22M for STREPs)
• (d) Integrating action NoE max 8M
• (e) Coordination Support Actions CSAs
• Max 1M per action

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To find more on ICT for Health / eHealth?

• Research and Policy site http//ec.europa.eu/infor
  mation_society/ehealth
• Health Research Newsletter (monthly
  issues)including key Policy information every
  quarter http//ec.europa.eu/information_society/ac
  tivities/health/research/newsletter/index_en.htm

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Contact persons

• DG INFSO Unit H1 ICT for Health
• Virtual Physiological Human - Joel Bacquet
• Emails firstname.surname_at_ec.europa.eu