The vision of a HealthGrid

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The vision of a HealthGrid

• Sofie NØRAGER
• European Commission
• DG INFSO, eHealth unit

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Outline of the presentation

• Introduction to the HealthGrid
• Some examples of Grid Imaging projects

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eH E A L T H - RD ACTIVITIES
from
to
FUTURE 10 years (2003-2014)KNOWLEDGE Technology
for Health m to M
PAST 10 years (1991-2002)INFORMATION Technology
for HealthCare M to m
1989-1990
1991-1994
1995-1998
2003-2006
1999-2002
2007-2010
2011-2014
1. E-Molecule Bioinformatics
2. E-cellule/tissue neuroinformatics
DG RTD
3. E-Individual Medical Informatics
RESEARCH
_at_
Electromagnetic Fields
TELECOM POLICIES
Others
Regional - National Plans
DG SANCO supports Public Health Policy
DG INFSO supports eHealth 2002 2005, eHealth
Ministerial Conference 2005, TEN/TELECOM, etc
DG REGIO, RELEX, EMP, ENT supports
eEUROPE - eHEAlth
Others
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Synergy between Medical Informatics,
Bioinformatics, and NeuroinformaticsKnowledge
Empowering Individual Health Care Well-Being
1.Medical Informatics (MI)citizen, patient and
population informatics
2.Bioinformatics/Genomics (BI)molecular
informatics
Medical Sciences
Biological Sciences

• Structural Genomics
• Functional Genomics
• Proteomics
• Biochip Technologies
• Advanced Data Clustering and Analysis Techniques
• Computational Biology
• Ethics
• etc.

• Electronic Health Record (EHR)
• Health Informatics/Telematics Standards
• Clinical Decision Support
• Intelligent Agent Systems for Health
• Telemedicine
• Safety and Security
• etc.

A
example Advancing into the molecular causes of
diseases Molecular Medicine example Exploiting
human genetics variation for individualized
health care Individualized Health Care
D
C
B
example Informatics in support of the next
generation of brain research Molecular
Neuroscience

• Biosignal Analysis and Pattern Recognition
  Systems
• Neuro Algorithms
• Neurocell Technology
• Human Computer Interfaces
• Machine Learning
• Knowledge Discovery
• etc.

example Gene expression imaging in the brain or
integration of genomic and neuroscience
databases Neurogenomics
example Modeling of structure and function of
molecules, cells, systems in disease Health
Knowledge Science
Behavioral Sciences Social Sciences
3.Neuroinformatics (NI)cell to organ informatics
DG INFSO.B.1/JCH/CVD/ 14.XII.2001/ rings
v19/10/2001
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European Research Area

• now is the time to bring our endeavours
  together and to build a research and innovation
  equivalent of the "common market" for goods and
  services. That structure is called the European
  Research Area and is regrouping all Community
  supports for the better coordination of research
  activities and the convergence of research and
  innovation policies, at national and EU levels.

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Health Grid HealthGrid

• Health
• All levels of data information, from molecule
  to population needed to ensure better prevention,
  diagnosis and treatment.
• Grid
• An environment, created through the sharing of
  resources, in which heterogeneous and dispersed
  data as well as applications can be accessed by
  different partners according to their
  authorisation, without loss of information.

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Draft Ideas, September 2002
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In 5 Years !
Infrastructures, Technology
Epidemiology Grid
HealthGrid Conferences web site www.healthgrid.
org
Pharma Grid
BioGrid
Environment, Astronomy,Physics
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In 10 Years ?
Infrastructures, Technology
ImagingGrid
Epidemiology Grid
HealthGrid Conferences web side www.healthgrid
.org
Hospital Grid
Pharma Grid
BrainGrid
BioGrid
Environment, Astronomy,Physics
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Starting Point
Grid-Enabled Medical Simulation Services
European federated mammogram database on a GRID
infrastructure
Trial for the introduction of the Grid approach
in the biotechnology industry
Computational Grid for Virtual Arteries
Surgical support tool
BioGrid Task operate a Grid for biomolecular
simulations
Biology Medical Apps Medical imaging
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1st Conference

• HealthGrid 2003, Lyon January 2003
• Knowledge and information discovery across
  distributed/federated databases
• Computational grids
• Integration
• Virtual organisations
• Privacy security
• Healthcare reluctance to introduce new IT

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www.healthgrid.org

• Under development - depends on your input
• Information about Grid technology - also for
  starters
• Link to projects (EU, US, ASIA etc.)
• Information about conferences
• Central contact point - who, what, how
• Developed by the HealthGrid Association

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HealthGrid 2004

• January 29th - 30th 2004, Clermont-Ferrand,
  France
• http//clermont2004.healthgrid.org
• The aims of this conference are to reinforce and
  promote awareness of the possibilities and
  advantages linked to the deployment of GRID
  technologies in health. In this context "Health"
  does not involve only clinical practice but
  covers the whole range of information from
  molecular level (genetic and proteomic
  information) through cells and tissues, to the
  individual and finally the population level
  (social healthcare).

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Medical Imaging Grids

• MAMMOGRID (Mammogram database)
• eDIAMOND (Mammogram database)
• GEMSS (Medical Imaging Reconstruction)
• MEDIGRID (Medical Images for 3D modelling)
• NDMA (National Digital Mammography Archive)
• etc etc.

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GEMSS GRID-enabled Medical Simulation Services
Project Duration 30 months, Commencement
1.9.2002
Simulation/Imaging Software
Grid Software /solutions
Bio-numeric modelling
Medical Expertise
Legal Aspects
http//www.gemss.de
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GEMSS - main goals

• Main GEMSS Goals
• Secure and lawful Grid provision of medical
  simulation services,
• Build 6 Grid-enabled medical prototype
  applications,
• Build suitable middleware on top of common
  standards,
• Install and evaluate a GEMSS test-bed,
• Anticipate privacy, security and other legal
  concerns related to providing medical services
  over the Internet.

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GEMSS -Technical Goals Challenges
Necessary Assumption No special purpose network
infrastructure
Appropriate User Interfaces Applications
Workflow

• Workflow Enactor
• Negotiation
• Business Processes

Negotiated Service Provision

• Secure Transfer, Web Services Security, Logging

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GEMSS - outlook

• Status of Work
• GEMSS has finalised its design phase
• client-server arch. based on web services
  (OGSA-compliant).
• Outlook prototype system Feb. 2004
• final GEMSS system Aug. 2004
• Contribution to Standardisation
• GEMSS is assessing its involvement in GGF, IETF
  or W3C. Final Strategy has yet to be decided.

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MammoGrid - European federated mammogram database
implemented on a GRID infrastructure

• Main goals
• To provide a demonstrator for use in
  epidemiological studies, quality control and
  validation of computer aided detection
  algorithms.
• Development of a fully functional Grid for these
  purposes, which will be implemented in hospitals.
• Development of some CADe techniques - use of the
  SMF (Standard Mammogram Form)
• http//lotus5.vitamib.com/hnb/mammogrid/mammogrid.
  nsf/Web/Frame?openform

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MammoGrid -Federated System Solution
Query Result
GRID
Clinicians Workstations
Massively distributed data AND distributed
analyses

• Knowledge is stored alongside data
• Active (meta-)objects manage various versions of
  data and algorithms
• Small network bandwidth required

Shared meta-data
Analysis-specific data
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MammoGridWhy a Grid infrastructure ?

• Large federated databases
• large data (size of images)
• needs enough data for statistics
• Ontologies and metadata
• Heterogeneous image formation parameters and
  features
• Needs standard for comparison
• Clinical information
• Geographically distributed data
• Effective data mining of a rapidly growing
  database
• Computing expensive simulations
• Allow for complex queries involving executables

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MammoGrid Challenges

• Data resides in hospitals
• Firewall protected
• Legal restrictions on access to data
• Clinicians, researchers, developers, Govt,
• Secure file transfer - Patient privacy
  security
• Combining several databases
• Medical image analysis clients are not Grid
  experts!
• Services must be system-resident, invisible,
  generic.

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Impact of Grid technology in Health

• Define collaborations.There is a need for both
  technology developers and users in order to move
  from research to applications.
• Define resources to be shared and access rights -
  address privacy and security issues.
• Awareness of other Grids - no reinventing the
  wheel, interoperability
• Creation of a HealthGrid community will ensure
  impact on standards, enable showcases etc.

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Thank you for your attention !