The vision of a HealthGridThe vision of a HealthGrid

Sofie NØRAGER

European Commission

DG INFSO, eHealth unit

Sofie NØRAGER

European Commission

DG INFSO, eHealth unit

Outline of the presentationOutline of the presentation

Introduction to the HealthGrid

Some examples of Grid Imaging projects

eH E A L T H - R&D ACTIVITIES

tofrom

DG REGIO, RELEX, EMP, ENT… supports

Electromagnetic Fields

DG SANCO supports: Public Health Policy

Others

FUTUREFUTURE 10 years (2003-2014)“KNOWLEDGE TechnologyKNOWLEDGE Technology for Healthfor Health””

““m to M”m to M”

PAST 10 years (1991-2002)“INFORMATION Technology for HealthCare”

“M to m”

FP2 FP3 FP4 FP5Networks

for HealthCare Professional

s

Computers for

Doctors

User Needs

Approach

Societal Demands

1989-1990

Budget20M €

Budget100M €

Budget140M €

Budget200M €

Projects30

Projects

63Projects158

Projects125

ResultsFeasibility Study

ResultsAIM

Community

Results1st batch

of Products

ResultsEU

Health Telematic

s Industry

2003-2006 2007-2010 2011-20141991-1994 1995-1998 1999-2002

@@

1. E-Molecule: Bioinformatics

2. E-cellule/tissue: neuroinformatics

3. E-Individual: Medical Informatics RRESEARCESEARC

HH

Regional - National Plans

DG INFSO supports: eHealth 2002 + 2005, eHealth Ministerial Conference 2005, TEN/TELECOM, etc

DG RTD

eEUROPeEUROPEE - - eHEAltheHEAlth

TELECOM TELECOM POLICIESPOLICIES

Others

2.Bioinformatics/Genomics (BI)

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

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

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

Medical Sciences

Behavioral Sciences

Social Sciences

Biological Sciences

example: Advancing into the molecular causes of diseases: Molecular Medicine

example: Exploiting human genetics variation for individualized health care: Individualized Health Care

example: Informatics in support of the next generation of brain research: Molecular Neuroscience

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

DG INFSO.B.1/JCH/CVD/ 14.XII.2001/ “rings” v19/10/2001

1.Medical Informatics (MI)

citizen, patient and population informatics

CB

D

3.Neuroinformatics (NI)

cell to organ informatics

A

ITIT

IT

Synergy between Medical Informatics, Bioinformatics, and Neuroinformatics:

Knowledge Empowering Individual Health Care & Well-Being

Synergy between Medical Informatics, Bioinformatics, and Neuroinformatics:

Knowledge Empowering Individual Health Care & Well-Being

“European” Research Area“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. «

Health + Grid = HealthGridHealth + 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.

Draft Ideas, September 2002Draft Ideas, September 2002

INDIVIDUALISED HEALTHCAREMOLECULAR MEDECINE

Databases

Association

Modelling

Computation

HealthGRID

Computational recommandation

Public Health

Patient

Tissue, organ

Cell

MoleculePatient related data

Public Health

Patient

Tissue, organ

Cell

Molecule

In 5 Years !In 5 Years !

HealthGrid

Conferences & web site

www.healthgrid.org

BrainGrid

Hospital Grid

ImagingGrid

Environment, Astronomy,Physics

Infrastructures, TechnologyEpidemiology Grid

Pharma Grid

BioGrid

In 10 Years ?In 10 Years ?

HealthGrid

Conferences & web side

www.healthgrid.org

BrainGrid

Hospital Grid

ImagingGrid

Epidemiology Grid

Pharma Grid

BioGrid

Infrastructures, Technology

Environment, Astronomy,Physics

Starting PointStarting Point

Trial for the introduction of the Grid approach in the biotechnology industry

BioGrid Task: operate a Grid for biomolecular

simulations

Biology & Medical Apps:Medical imaging

Computational Grid for “Virtual Arteries”

Surgical support tool

Grid-Enabled Medical Simulation Services

European federated mammogram database on a GRID infrastructure

1st Conference1st 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

www.healthgrid.orgwww.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

HealthGrid 2004HealthGrid 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).

Medical Imaging Grid’sMedical Imaging Grid’s

MAMMOGRID (Mammogram database)

eDIAMOND (Mammogram database)

GEMSS (Medical Imaging Reconstruction)

MEDIGRID (Medical Images for 3D modelling)

NDMA (National Digital Mammography Archive)

etc etc.

Simulation/Imaging Software

Grid Software /solutions

Bio-numeric modelling

Medical Expertise

Legal Aspects

Medical simulation service+ networked compute resources

Pre- & Post-processing

User-site(SW installed)

GRID SW

GRID SW (interface)

Applications SW

GRID SW (service use)

Internetor Intranet

Internetor Intranet

Could also be movedto the services portal

Simulation Service System

Project Duration: 30 months, Commencement: 1.9.2002

http://www.gemss.de

GEMSS: GRID-enabled Medical Simulation Services

GEMSS: GRID-enabled Medical Simulation Services

GEMSS - main goalsGEMSS - 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.

Necessary Assumption:No special purpose network infrastructure

Logger

ComputeResource

VNC

DataStorage

QoS

App

licat

ion

Err

orre

cove

ry

WS

DL

SO

AP

mar

shal

ling

Web

Ser

vice

Web

Ser

vice

Sec

urit

y

Sec

ure

Tra

nsfe

r (h

ttps

)

Apache

ConversationalAuthorisation

Keystore +Certificates

Web

Ser

vice

Sec

urit

y

Sec

ure

Tra

nsfe

r (h

ttps

)

Keystore +Certificates

Bridge tolocal PKI ?

Invo

cati

onLa

ngua

geA

PI

LoggerN

ego

tiat

ion

App

licat

ion

Wor

kflow

Bus

ines

sPr

oces

ses

LocalAuthorisation

RegistryCertification

UI

Ele

men

ts

Internet

Client Server

Appropriate User Interfaces& Applications Workflow

• Workflow Enactor

• Negotiation• Business

Processes

• Secure Transfer, Web Services Security, Logging

Negotiated Service Provision

GEMSS -Technical Goals & Challenges

GEMSS -Technical Goals & Challenges

GEMSS - outlookGEMSS - outlook

Status of Work:

GEMSS has finalised its design phase:client-server arch. based on web services (OGSA-compliant).

Outlook: prototype system – Feb. 2004final GEMSS system – Aug. 2004

Contribution to Standardisation:GEMSS is assessing its involvement in GGF, IETF or W3C. Final Strategy has yet to be decided.

MammoGrid - European federated mammogram database implemented on a GRID

infrastructure

MammoGrid - European federated mammogram database implemented on a GRID

infrastructureMain 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

University Database

Healthcare Institute

Hospital Italy

Hospital UK Shared meta-data

Analysis-specific data

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

Clinician’s Workstations

QueryResult

LocalQuery

LocalAnalysis

LocalAnalysis

LocalAnalysisLocal

Analysis

Massively distributed dataAND distributed analyses

GRIDLocalQuery

LocalQuery

LocalQuery

MammoGrid -Federated System Solution

MammoGrid -Federated System Solution

MammoGridWhy a Grid infrastructure ?

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

MammoGrid ChallengesMammoGrid 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.

Impact of Grid technology in Health

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 Grid’s - no reinventing the wheel, interoperability

Creation of a HealthGrid community will ensure impact on standards, enable showcases etc.

Thank you for your attention !