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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)
NEC 2007, Varna 3
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 …
NEC 2007, Varna 4
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.
NEC 2007, Varna 5
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
NEC 2007, Varna 9
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
NEC 2007, Varna11
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
NEC 2007, Varna13
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
NEC 2007, Varna14
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
Healthcare / biomedicalApplications
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
NEC 2007, Varna16
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
NEC 2007, Varna17
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
NEC 2007, Varna20
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
NEC 2007, Varna21
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
NEC 2007, Varna22
ELSE Roadmap Diagram
MDP2 Pseudo/anonymisation and identity protection MDP1 De-identification & encryption
Development of grid security services
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
Development of grid security 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
MP2 Privacy, confidentiality, ethical and quality policies
for a data grid
MP3 Privacy, confidentiality, ethical and quality policies
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
NEC 2007, Varna24
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
Healthcare / biomedicalApplications
Co
mp
uti
ng
Gri
d
Dat
a G
rid
Knowledgegrid
NEC 2007, Varna25
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
NEC 2007, Varna26
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.
NEC 2007, Varna27
RCDG7
RCDG5
RCDG4 RCDG6
RCDG3
RCDG2
RCDG1
Improved distributed data management
Quality of service
Distributed data models
TIME
Research challenges for:
Computing grids
Data grids
Knowledge grids
Data Grids
NEC 2007, Varna28
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.
NEC 2007, Varna29
RCKG7
RCKG5
RCKG4
RCKG3
RCKG6
RCKG2RCKG1
Defining standards and ontologies
Grid technology challenges Research area
challenges
TIME
Research challenges for:
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
Core services infrastructure
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
Core services infrastructure
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
NEC 2007, Varna32
Challenges & complexity
Vis ionaries E arlyAdopters E arlyMajority L ateMajority
2007 2009 2011
2014 2016
Infrastructure Interoperability
Quality of Service
On DemandAccess
User Friendliness
ImprovedDistributedData Management
DistributedData Models
Data IntegrationTools and Standards
Knowledge Management Tools and standards
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
ImprovedDistributedData Management
DistributedData Models
Data IntegrationTools and Standards
Knowledge Management Tools and standards
Domain Specific KnowledgeManagement and Ontologies
Time
Complexity
NEC 2007, Varna33
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
NEC 2007, Varna34
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