Present and Future eHealthResearch Activities

supported by DG INFSO

Present and Future eHealthResearch Activities

supported by DG INFSO

Gérard Comyn,

Head of Unit, ICT for Health,

European Commission

gerard.comyn@cec.eu.int

GérardGérard ComynComyn, ,

Head of Unit, ICT for Health,Head of Unit, ICT for Health,

European Commission European Commission

gerard.comyn@cec.eu.intgerard.comyn@cec.eu.int

Some factsSome facts

• Health care expenditure worldwide is around € 3,000 billion

• Employs 9.3 % of total workforce in the EU, more than15 Mil people (compared to retail 13.0m, business services 13.3m)

• The combined market of BME/eHealth in EU is € 70 Billion

• Current funding of European Commission-BME/eHealth ~ € 550 Million (Information Society, Life sciences and Nonotechnologies Programmes)

• eHealth is a third largest industrial pillar of Healthcare (after pharma and med. devices) whose market will correspond to 5% of HC expenditure within the next 10 years.

PASTPAST 10 years (1991-2002)

Computer Applications for

DoctorsTelemedicine systems

and services

Budget

20M €Budget

100M €Budget

140M €Budget

200M €

Projects

30Projects

63Projects

158Projects

125Results

Feasibility Study

ResultsAIM

Community

Results1st batch of Products

ResultsEU Health TelematicsIndustry

Regional Health Info Networks

Home-care systems

Personal Health Systems

NEXTNEXT 10 years (2003-2014)

i2010 initiative

eHealth Communication and Action Plan COM (2004) 356

Yearly Ministerial eHealth Conferences, next conference

May10-12, 2006 Malaga, Spain

Support to deployment

’89-’91 ’91-’94 ’94-’98 ’98-’02

20 Years of eHealth R&D & Policy20 Years of eHealth R&D & Policy

NEXTNEXT 10 years (2003-2014)PASTPAST 10 years (1991-2002)

FP2 FP3 FP4 FP5

Computer Applications for

DoctorsTelemedicine systems

and services

Budget

20M €Budget

100M €Budget

140M €Budget

200M €

Projects

30Projects

63Projects

158Projects

125Results

Feasibility Study

ResultsAIM

Community

Results1st batch of Products

ResultsEU Health TelematicsIndustry

@@

Regional Health Info Networks

Home-care systems

Personal Health Systems Health Knowledge Infostructure &

HealthGrid Decision Support Systems

Biomedical Informatics – support to Molecular and genomics Medicine

Personal health systems (Wearable & Implantable) based on biosensors

www.cordis.lu/ist/directorate_c/ehealth/index.html

FP6 Research activities

Currently preparing FP7 activities (2006-2013)

20 Years of eHealth R&D & Policy20 Years of eHealth R&D & Policy

Characteristics of Characteristics of Personal Health SystemsPersonal Health Systems

Key facilitators for:Key facilitators for:

-- Continuity of care (prevention rehabilitation)Continuity of care (prevention rehabilitation)-- CitizenCitizen--centred carecentred care

citizen empowerment to manage own health statusprovision of personalised careemphasis in preventative lifestyleearly diagnosismanagement of chronic diseasesindependent living

In the form of:In the form of:-- Wearable systemsWearable systems-- Implantable systemsImplantable systems-- Mobile / portable systemsMobile / portable systems-- PointPoint--ofof--Care systems for inCare systems for in--vitro diagnosticsvitro diagnostics

Personal Health Systems –FP6 effortsFP6 efforts

-- Work under FP6Work under FP6

Move from development of technology and components to integrated systems and servicesPersonalisation of health systems and care

Personalised mobile applications and algorithmsActivity areas:

Health status monitoringClosed-loop drug delivery systems In-vitro diagnostics (predisposition to cancer)

-- MYHEART projectMYHEART project

- application oriented research- intelligent clothes- context awareness- integrated system and services- interaction with users and medical professionals

Biomedical Informatics- Background

Biomedical information is collected, stored and processed on / in

1)1) Different LevelsDifferent Levels – (molecule, cell, tissue, organ, person, population)

2)2) Different Context Different Context -- (care, research, education, policy/management)

3)3) Different RepresentationDifferent Representation – (format, structures, ontologies)

4)4) Many many different places Many many different places - Clinical info resources (health records, personal/wearable health

systems, clinical research databases, drug/pharma databases, NLM, …)

- Biomolecular Info resources (DNA & protein sequences, microrarraydata, protein interactions, human genome annotations ..)

- Public health info resources (epidemiological data and studies, national and WHO databases on diseases, …)

- Environmental/Chemical/Biodiversity info resources

Population

Patient

Tissue, organ

Cell

MoleculeGene, Protein

Bioinformatics

MedicalInformatics

Public HealthInformatics

Biomedical Informatics:synthesizes knowledge at all levels

Biomedical Informatics:synthesizes knowledge at all levels

GenomeEpidemiology

Biomedical Informatics (BMI)Research roadmaps

Biomedical Informatics (BMI)Research roadmaps

First roadmap (2002): First roadmap (2002): BioinfomedBioinfomed, , http://http://bioinfomed.isciii.esbioinfomed.isciii.es

Second roadmap (expected in 2006)Second roadmap (expected in 2006)Synergies between medical informatics and BioinformaticsSynergies between medical informatics and BioinformaticsCoordinator: EMBLCoordinator: EMBL--EBI EBI www.symbiomatics.orgwww.symbiomatics.org//

Running: 3 Networks of excellence (Started 1/1/04)

BIOPATTERN: http://www.biopattern.org/INFOBIOMED: http://www.infobiomed.org/SEMANTIC MINING: http://www.semanticmining.org/

And launching 20 projects 1/1/06 info available soonAnd launching 20 projects 1/1/06 info available soon

TimelineTimeline

FP6

FP7

New Financial Perspectives

2003 2004 2005

2007 - 2013 …

2006

WP03-04Call1

Call2 Call3Call4 Call5 Call6 (tbc)

WP05-06

AdoptionProposals on FP, SPs

Communication: "Preparing the future: reinforcing European research policy" (12/05/04)

WP + Calls

Communication “Building our common future: Policy challenges and Budgetary means of the Enlarged Union 2007-2013" (10/02/04)

ICT for Health in FP7ICT for Health in FP7

•• New perspectives in ICT drawing on other science and New perspectives in ICT drawing on other science and technology disciplinestechnology disciplines,, including insights from physics, including insights from physics, biotechnologies, materialsbiotechnologies, materials-- and lifeand life--sciences, for sciences, for miniaturisation of ICT devices to sizes compatible and miniaturisation of ICT devices to sizes compatible and interacting with living organismsinteracting with living organisms, to increase performance , to increase performance of systems engineering and information processing, and of systems engineering and information processing, and for for modelling and simulation of the living worldmodelling and simulation of the living world..

•• ICT meeting societal challengesICT meeting societal challenges: New systems and : New systems and services in areas of public interest improving quality, services in areas of public interest improving quality, efficiency, access and inclusiveness; user friendly efficiency, access and inclusiveness; user friendly applications, integration of new technologies and applications, integration of new technologies and initiatives such as ambient assisted living.initiatives such as ambient assisted living.

• for health, improving disease prevention, early diagnosis and personalisation; autonomy, safety and mobility of patients; health information space for knowledge discovery.

Personal Health Systems –Potential RTD directions in FP7

Personal Health Systems –Potential RTD directions in FP7

•• Focus on:Focus on:

Multi-parameter physiological monitoring

vital body signals and functions

(e.g. heart & respiratory rate, ECG, temperature etc.)

chemical & biological substances

Non-invasive multi-parameter blood analysis

e.g. glucose, lactate, amino acids, etc.

Substituting missing or degraded organ functionality

wearable/portable/implantable artificial organs

closed-loop drug delivery systems

Multi-analyte screening at GP offices or home

DNA, mRNA based methods

Remote monitoring

Independent Living

•• Major enabling technologies Major enabling technologies -- SensorsSensors

Molecular and cellular biosensors (biosensor arrays)

multi-analyte screening applications / multi-target detectionpredisposition to diseases

Biochemical and non-contact sensors

continuous multi-parameter physiological monitoringoptical (NIRS), ultrasonic (CMUTs) or radio (UWB) technologiesimaging capabilities for home diagnostic devices (e.g. M-mode imaging of heart valves, blood flow)

Transdermal sensors

non-invasive multi-parameter blood analysis (“blood readers”)assess the immune state, detect trends or trigger alarmsindicate need for dietary adjustments (e.g. amino acid supplements)targeted closed-loop drug delivery

Personal Health Systems –Potential RTD directions in FP7

Personal Health Systems –Potential RTD directions in FP7

•• Major enabling technologies Major enabling technologies –– Modelling and SimulationModelling and Simulation

First prototypes of wearable/portable/implantable artificial organs

increase mobility, autonomy and independence of people in need

ambitious multidisciplinary research: ICT, biology and materials

engineer the first generation of wearable artificial kidney?

Virtual Physiological Human:

• modelling and simulation of the function of real physiological organs

• help design artificial organs tailored to the individual’s needs

Personal Health Systems –Potential RTD directions in FP7

Personal Health Systems –Potential RTD directions in FP7

•• Major enabling technologies Major enabling technologies –– CommunicationsCommunications

Underpin all remote monitoring solutions

Converged fixed, wireless, mobile services for care outside hospitals

Interaction between user/patient and healthcare professional

mobile phones or PDAs with embedded sensors

services over web portals - PCs and interactive TV

broadband, UMTS, RFID, ZigBee, UWB, WiMAX

Personal Health Systems –Potential RTD directions in FP7

Personal Health Systems –Potential RTD directions in FP7

•• IntegratedIntegrated approachapproach

Adopt a comprehensive approach

from technology development to integration of dependable, secure and interoperable solutions in healthcare

provide genuine end-to-end services

Understand user’s needs & involve users in development phase

Validation and assessment of new solutions and services, with user participation

Reliability of data acquisition and wireless communications

Security of personal data, privacy and confidentiality

Connectivity to Health Information Systems and Electronic HealthRecords

Interoperability with other eHealth systems

Personal Health Systems –Potential RTD directions in FP7

Personal Health Systems –Potential RTD directions in FP7

Virtual (Digital) Physiological HumanVirtual (Digital) Physiological Human

First workshop: June 1-2, 2005, Barcelona, Spainhttp://europa.eu.int/information_society/activitie

s/health/events/index_en.htmRoadmap: www.europhysiome.org

Computational framework for multiscalein silico model(s) of the human physiology and a toolbox for simulation and visualisation

Patient specific model from biosignalsand (multimodal) images including molecular images

New basis for medical research and healthcare

Computational Models of the Human Body

Computational Models of the Human Body

•• Reproduce Anatomical and Reproduce Anatomical and

Functional properties Functional properties of of

physiological systems at various scalesphysiological systems at various scales

• molecules, proteins, cells, tissues, organs,

systems, body, etc.

•• Integrate Geometry, Physics, Integrate Geometry, Physics,

Chemistry, Physiology…Chemistry, Physiology…

•• Help understand normal or Help understand normal or

pathological evolutions : pathological evolutions :

• systems : cardio-vascular, Central Nervous,

Digestive, Reproductive, etc.

INRIA in silico electro-mechanical cardiac model

meso

macro

ATP

sarcomeres

fibers

organ

nano

micro

N. Ayache, INRIA

The challengeThe challenge

Modelling and coupling phenomena which occur on many Modelling and coupling phenomena which occur on many different length and time scalesdifferent length and time scales

• 1m person• 1mm tissue morphology• 1μm cell function• 1nm pore diameter of a membrane proteinRange = 109

• 109 s (years) human lifetime• 107 s (months) cancer development• 106 s (days) protein turnover• 103 s (hours) digest food• 1 s heart beat• 1 ms ion channel gating• 1 μs Brownian motionRange = 1015

Virtual Physiological HumanMain challenges

Virtual Physiological HumanMain challenges

•• Methodology, Modelling of complex systemsMethodology, Modelling of complex systems

•• Integration of existing creation of new Integration of existing creation of new DBsDBs, Libraries, , Libraries, BiobanksBiobanks

•• ToolboxToolbox forfor simulationsimulation andand visualisationvisualisation

•• Verification, ValidationVerification, Validation

•• Pilots & DeploymentPilots & Deployment

•• policy &fundingpolicy &funding

– Basis is the physiome project (www.physiome.org)

– Many projects on cellular (eCell) and organ level (heart, kidney, lungs, musculosceleton)

– Examples in US: virtual soldier, virtual human

– The research agenda to be followed by new project STEP ( under negociation)

– June 29-30 Conference, Brussels (in cooperation with DG RTD)

Virtual (Digital) Physiological HumanThe Grand challenge

Virtual (Digital) Physiological HumanThe Grand challenge

Series of workshops for preparation of FP7

ICT at cross road with Life sciences, Brussels, October 12, 2004

http://http://www.cordis.lu/ist/ictbio/home.htmwww.cordis.lu/ist/ictbio/home.htm

• Future ICT systems inspired by nature• DNA circuits, sensory data processing, self repair systems

• ICT in support of new biomedical systems and knowledge• Biochips, artificial organs, Virtual physiological human (VPH)

Mullilevel Modelling and Simulation of Human Physiology Barcelona June 1, 2005

White paper and presentations available at:

http://europa.eu.int/information_society/activities/health/eventhttp://europa.eu.int/information_society/activities/health/events/s/

ConclusionsConclusions

European Commission – DG Information Society supports

1) Beneficial uptake eHealth Communication

- coordination of Member states activities

- closer collaboration with other policy commission services

2) R&D in ICT for health with aim to contribute to

Public health, Prevention, Patient safety, Molecular medicine

3) Events: PHealth, Lucern, Switzerland, Jan30-Feb 2, 2006

Ministerial eHealth Conference, malaga, Spain 10-12 May 2006

ICT for Biomedical Sciences, Brussels, June 29-30, 2006

//europa.eu.int/information_society/activities/health/events/index_en.htm

To find more on ICT for Health / eHealth?To find more on ICT for Health / eHealth?

• Policy site:http://europa.eu.int/information_society/activities/health/index_en.htm

• eHealth R&D Newsletter (monthly issues):http://europa.eu.int/information_society/activities/health/research/newsletter/index_en.htm

• Research site:http://www.cordis.lu/ist/directorate_c/ehealth/index.html