Http:// NEC 2007, Varna Structuring and supporting Healthgrids Activities and Research in Europe (SHARE): developing

http://www.eu-share.org

http://www.healthgrid.org

NEC 2007, Varna

Structuring and supporting Healthgrids Activities and Research in Europe

(SHARE):developing a roadmap

Tony Solomonides (UWE, Bristol) SHARE Consortium & [email protected].

uk

NEC 2007, Varna 2

SHARE consortium

EC Framework Programme 6 ‘Specific Support Action’ project27 months, January 2006 to March 2008

with

CNRS/IN2P3HealthGridUniversidad Politécnica de ValenciaUniversity of the West of England, BristolResearch Centre for Computer and Law (CRID) – University of NamurEuropean Health Management AssociationEmpirica GmbH

Argonne National LaboratoryAcademia Sinica Grid Computing Centre

APAMI (Asia-Pacific Association for Medical Informatics)

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SHARE at NEC 2007

Update since NEC 2003 and 2005

SHAREObjectivesProducts

Road MapWhere do we want to go ?Where do we start from ?

ChallengesTechnology‘ELSE’ issues

Invitation to contribute …

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Background

The concept of “grids for health” was described in the HealthGrid White Paper in 2005. It set out a vision of the opportunities and potential benefits offered by applying grids in different areas of biomedicine and healthcare.

The HealthGrid vision relies on the setting up of grid infrastructures for

medical research,healthcare, andthe life sciences

… which implies:the availability of grid services, most notably for data and knowledge management;the deployment of these services on infrastructures involving healthcare centres (e.g. hospitals), medical research laboratories and public health administrations; andthe definition and adoption of international standards and interoperability mechanisms for medical information stored on the grid.

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SHARE to define milestones forwide deployment and adoption of healthgrids in Europeaction plan for a European e-Health Area

The project had toassess the status quo and set targetsidentify key gaps, barriers and opportunitiesestablish

short and long term objectiveskey developmentsactors to achieve the vision

SHARE Objectives

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The roadmap covers issues at different levels

infrastructuremiddlewareservices to end-usersstandardssecuritylegal, ethical, social and economic (ELSE) issues

SHARE Objectives

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SHARE WPs

WP3: Infrastructure & SecurityWP3: Infrastructure & Security

WP4: Health Policy, Ethical, Soc. and Econ.WP4: Health Policy, Ethical, Soc. and Econ.

WP6WP6

WP5

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Project progress

Work Package 4

Ethical, Legal and Socio-Economic Map

Work Package 5

Use Case Scenarios

Work Package 6

Integrated Road Map

Work Package 3

Technical Road Map

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What is the goal ?

An environment, created through the sharing of resources, in which heterogeneous and dispersed health data at different levels:

molecular data (e.g. genomics, proteomics)cellular data (e.g. pathways)tissue data (e.g. cancer types, wound healing) personal data (e.g. EHR)population (e.g. epidemiology)

as well as applications, can be accessed by all users as a tailored information system according to their level of authorisation and without loss of quality of information or service.

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Computing GridFor data crunching applications

Knowledge GridIntelligent use of Data Grid for knowledge creation and tools provisions to all users

Data GridDistributed and optimized

storage of large amounts of accessible data

•Computing grid applications are being deployed successfully (DEISA, EGEE)

•A few successful data grids (BIRN, BRIDGES, Medical Data Manager)

•No knowledge grid yet deployed

State of the art

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Computing GridFor data crunching applications

Knowledge GridIntelligent use of Data Grid for knowledge creation and tools provisions to all users

Data GridDistributed and optimized

storage of large amounts of accessible data

Collaboration

State of the art

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Technical Challenges

Distributed data integration and computingSecurityPerformance

StandardsNeed for reference implementations of standard grid servicesLack of connection between medical informatics standards and grid standards (e.g. grid-enabled DICOM)Lack of standard open source ontologies in medical informatics

Grid deployment in medical research centresEasy installation of secure grid nodesFriendly user interface

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Other challenges

Specific features of the communityPatient ownership of her or his dataHospitals IT policies vs grids

Technology transfer between projects Development of best practices

Interfacing IT resources for clinical routine to gridData sharing (and major ethical implications)

Raising awareness of gridsNeed to build on success stories

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HealthGrid ‘SOA’

The classic grid architecture assumed by SHARE

Core services are generic; no medical or healthcare specialization assumed

Healthgrid services are generic services (e.g. pseudo-nymization, image storage) and may be used by different special applications

Domain-specific applications may require additional services (e.g. mammogram standardization); these may also be made generic.Core services

infrastructure

HealthGridservices

Healthcare / biomedicalApplications

Com

putin

gG

rid

Dat

a G

rid

Knowledgegrid

Core services infrastructure

Healthgridservices


Co

mp

uti

ng

Gri

d

Dat

a G

rid

Knowledgegrid

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Toward a roadmap

Referencedistribution

of gridservices

phase 1 phase 2

Sustainable computing

grid

Referenceimplementation

of gridservices

Sustainable

data grid

Agreed medical

informatics &grid standards

Sustainableknowledge

grid

Agreedopen source

medical ontologies

Generalized use of

knowledge

grids

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Milestones I

In relation to technologyIT.1 A reference implementation of grid services using standard web service technology and allowing computation and secure manipulation of distributed data

IT.2 A reference distribution of a reference implementation of grid services for the installation of grid nodes in medical research centres

IT.3 An agreed set of standards for sharing medical images and records on the grid

IT.4 Agreed and implemented open source medical ontologies

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Milestones II

In relation to deploymentGD.1 A sustainable computing grid infrastructure for the medical research communityGD.2 A sustainable data grid for a well defined medical research topic

Distributed storage and distant query of medical data

GD.3 A knowledge grid for a well defined medical research topic

Distributed data integration and computing

GD.4 Generalized use of knowledge grids

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Milestones III

In the first phase:GD.1 A sustainable computing grid infrastructure for the medical research communityIT.1 A reference implementation of grid services using standard web service technology and allowing computation and secure manipulation of distributed data

GD.2 A sustainable data grid for a well defined medical research topic

Distributed storage and distant query of medical data

IT.2 A reference distribution of a reference implementation of grid services for the installation of grid nodes in medical research centres

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Milestones IV

In the second phase:IT.3 An agreed set of standards for sharing medical images and records on the grid

GD.3 A knowledge grid for a well defined medical research topic

Distributed data integration and computing

IT.4 Agreed and implemented open source medical ontologies GD.4 Generalized use of knowledge grids

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Toward a roadmap

Referencedistribution

of gridservices

phase 1 phase 2

Sustainable computing

grid

Referenceimplementation

of gridservices

Sustainable

data grid

Agreed medical

informatics &grid standards

Sustainableknowledge

grid

Agreedopen source

medical ontologies

Generalized use of

knowledge

grids

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Technical Roadmap Diagram

MT2 Production of a reference distribution of healthgrid services

DICOM development

MS1 Grid DICOM

MS2 Grid EHR

MD1 Computational grid production environment demo

Standards

Deployment MD2 Data grid production environment demo

MD3 Research knowledge grid production environment demo

Development of Web Services

Development of grid security services

Development and mapping of medical ontologies

Technical

Version 1 Version 2 Version 3

MT1 Testing grid middleware(s) with medical applications at a significant scale

Legislation

EHR development

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ELSE Roadmap Diagram

MDP2 Pseudo/anonymisation and identity protection MDP1 De-identification & encryption


MEL2 Patient consent and access to data

Duty of care

MEL1 Predicting possible damage, determining liability of professionals, logging & auditing

ME2 Ethical

ME1 Ethical control

MP1 Privacy, confidentiality, ethical and quality policies

for a computational grid

MP2 Privacy, confidentiality, ethical and quality policies for a data grid

MP3 Privacy, confidentiality, ethical and quality policies for a knowledge grid

ELSE

Legal Medical

Legislation

control

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Integrated Roadmap Diagram

MDP1 De- identification & encryption MDP2 Pseudo/anonymisation and identity protection

MT2 Production of a reference distribution of healthgrid services

Development of Web Services


MEL2 Patient consent and access to data

MEL1 Predicting possible damage, determining liability of professionals, logging & auditing

ME2 Ethical

control-

ME1 Ethical

MP1 Privacy, confidentiality,

ethical and quality policies for a computational grid


for a data grid


for a knowledge grid

DICOM development EHR development

MS1 Grid DICOM

MS2 Grid EHR

MD1 Computational grid production environment

demo

Standards

Technical

Deployment

ELSE

MD2 Data grid production environment demo

MD3 Research knowledg e grid

production environment demo

Legal Medical

Duty of care Development and mapping of medical ontologies

Version 1 Version 2 Version 3

MT1 Testing grid middleware(s) with medical applications at a significant scale

Legislation

control

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The classic grid architecture assumed by SHARE

Core services are generic; no medical or healthcare specialization assumed

Healthgrid services are generic services (e.g. pseudo-nymization, image storage) and may be used by different special applications

Domain-specific applications may require additional services (e.g. mammogram standardization); these may also be made generic.Core services

infrastructure

HealthGridservices


Com

putin

gG

rid

Dat

a G

rid

Knowledgegrid


Healthgridservices


Co

mp

uti

ng

Gri

d

Dat

a G

rid

Knowledgegrid

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RCCG10

RCCG9

RCCG8

RCCG7

RCCG6RCCG5

RCCG4

RCCG3

RCCG2

RCCG1

Interoperability of Infrastructures

User friendliness

On demand access

Quality of service

TIME

Research challenges for:

Computing grids

Data grids

Knowledge grids

Computational Grids

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Computational Grids

Challenge Community

Description of the requirement

RCCG1 VPH • Access to grid resources on demand.

RCCG2 VPH • Transparent job submission to cluster and supercomputer grids.• Easy transfer of tasks between grid infrastructures

RCCG3 VPH • Automatic migration of simulations between different scales.

RCCG4 VPH • User friendly access. Lower barrier to adoption.

RCCG5 VPH • Transparent access to different grids.

RCCG6 EPI • Need for real fault-tolerant scheduling systems.

RCCG7 EPI • Easily installed grid middleware for health environments.• Low maintenance and administration.

RCCG8 EPI • Exploitation models and guaranteed QoS for services.• Advance resource reservation with pre-negotiated QoS.

RCCG9 EPI • Need for scalable job scheduling system.

RCCG10 EPI • Low latency/high performance services integrated.

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RCDG7

RCDG5

RCDG4 RCDG6

RCDG3

RCDG2

RCDG1

Improved distributed data management

Quality of service

Distributed data models

TIME


Computing grids

Data grids

Knowledge grids

Data Grids

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Data GridsChallenge Community Description of the requirement

RCDG1 EPI • Easily installed grid middleware for health environments.• Low maintenance and administration.

RCDG2 EPI - VPH • Data architectures/tools for private data dissociation, pseudo/anonymisation and

encryption. • Automatic compliance with legal requirements.

RCDG3 EPI • Exploitation models and guarantees QoS for services.• Advance resource reservation with pre-negotiated QoS.

RCDG4 EPI • Scalable data cataloguing and data transfer.

RCDG5 VPH • Storage services for easy upload/download of large binary objects.

RCDG6 VPH / Europhysiom

e

• Distributed data models and repositories multiscale data.

RCDG7 IMI • Enhanced standards for data protection in web services environments.

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RCKG7

RCKG5

RCKG4

RCKG3

RCKG6

RCKG2RCKG1

Defining standards and ontologies

Grid technology challenges Research area

challenges

TIME


Computing grids

Data grids

Knowledge grids

Knowledge Grids

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Knowledge GridsChallenge Community Description of the requirement

RCKG1 EPI • Knowledge-driven grid catalogues and integration based on the metadata.

RCKG2 IMI • Standards and models to expose• web services (semantics), scientific services,• properties of data sources, data sets, scientific objects, and data

elements

RCKG3 IMI • Enhanced knowledge representation models and data exchange standards for complex systems

RCKG4 IMI • Develop new, domain-specific ontologies based on standard data representation models and reference ontologies

RCKG5 IMI • Advanced text mining tools to capture implicit information about complex objects, relationships and processes, as described in patents and literature

RCKG6 IMI • Standards and an expert tool (ontology/schema/rules negotiator) to expose properties of local sources in a federated environment

RCKG7 IMI-VPH • Standards and an expert tool (services/data negotiator) to guide users through the complexities of the data, data models, simulation and modelling tools.

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Challenges & architecture


HealthGridservices

Healthcare / biomedical Applications

Com

putin

gG

rid

Dat

a G

rid

KnowledgeGrid

User Friendliness

Interoperability ofinfrastructures

Quality of Service

On DemandAccess

ImprovedDistributedData Management

Quality of Service

DistributedData Models

Data IntegrationTools and Standards

Knowledge Management Tools and standards

Domain Specific Knowledge Management and Ontologies


HealthGridservices

Healthcare / biomedical Applications

Com

putin

gG

rid

Dat

a G

rid

KnowledgeGrid

User Friendliness

Interoperability ofinfrastructures

Quality of Service

On DemandAccess


Quality of Service




Domain Specific Knowledge Management and Ontologies

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Challenges & complexity

Vis ionaries E arlyAdopters E arlyMajority L ateMajority

2007 2009 2011

2014 2016

Infrastructure Interoperability

Quality of Service

On DemandAccess

User Friendliness





Domain Specific KnowledgeManagement and Ontologies

Time

Complexity

Vis ionaries E arlyAdopters E arlyMajority L ateMajority

2007 2009 2011

2014 2016Vis ionaries E arlyAdopters E arlyMajority L ate

Majority

2007 2009 2011

2014 2016

Infrastructure Interoperability

Quality of Service

On DemandAccess

User Friendliness





Domain Specific KnowledgeManagement and Ontologies

Time

Complexity

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How will WP6 work in 2007?

HealthGrid 2007, Geneva

Work Package 5

Work Package 6

OGF 20, Manchester

e-Health 2007, Berlin

MedInfo 2007, Brisbane

NEC 2007, Varna

EGEE 2007, Budapest

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Conclusions

SHARE is an activity to search, consolidate and analyse the trends of research on grid technologies applied to health.

SHARE covers all issues regarding healthgrids, from the technical to the ethical, legal, social and economic (ELSE) point of view:

www.eu-share.org/deliverables.html

SHARE needs inputs from relevant actors in the field world-wide:

http://wiki.healthgrid.org/index.php/Roadmap:index

Documents

Http:// NEC 2007, Varna Structuring and supporting Healthgrids Activities and Research in Europe (SHARE): developing