tony.solomonides@uwe.ac.uk

1. Structuring and supporting Healthgrids Activities and Research in Europe (SHARE):developing a roadmapTony Solomonides (UWE, Bristol)SHARE Consortium & HealthGrid tony.solomonides@uwe.ac.uk

2. SHARE consortium • EC Framework Programme 6 ‘Specific Support Action’ project • 27 months, January 2006 to March 2008 • with • CNRS/IN2P3 • HealthGrid • Universidad Politécnica de Valencia • University of the West of England, Bristol • Research Centre for Computer and Law (CRID) – University of Namur • European Health Management Association • Empirica GmbH • Argonne National Laboratory • Academia Sinica Grid Computing Centre • APAMI (Asia-Pacific Association for Medical Informatics)

3. SHARE at NEC 2007 • Update since NEC 2003 and 2005 • SHARE • Objectives • Products • Road Map • Where do we want to go ? • Where do we start from ? • Challenges • Technology • ‘ELSE’ issues • Invitation to contribute …

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, and • the 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; and • the definition and adoption of international standards and interoperability mechanisms for medical information stored on the grid.

5. SHARE Objectives • SHARE to define milestones for • wide deployment and adoption of healthgrids in Europe • action plan for a European e-Health Area • The project had to • assess the status quo and set targets • identify key gaps, barriers and opportunities • establish • short and long term objectives • key developments • actors to achieve the vision

6. SHARE Objectives • The roadmap covers issues at different levels • infrastructure • middleware • services to end-users • standards • security • legal, ethical, social and economic (ELSE) issues

7. WP3: Infrastructure & Security WP6 Baseline RoadMap I RoadMap II WP5 HealthGrid Framework Application Roadmap WP4: Health Policy, Ethical, Soc. and Econ. Health Grid Roadmap Baseline RoadMap I RoadMap II SHARE WPs time

8. Work Package 5 Use Case Scenarios Work Package 3 Technical Road Map Work Package 6 Integrated Road Map Work Package 4 Ethical, Legal and Socio-Economic Map Project progress

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.

10. State of the art Computing Grid For data crunching applications • Computing grid applications are being deployed successfully (DEISA, EGEE) • A few successful data grids (BIRN, BRIDGES, Medical Data Manager) • No knowledge grid yet deployed Knowledge Grid Intelligent use of Data Grid for knowledge creation and tools provisions to all users Data Grid Distributed and optimized storage of large amounts of accessible data

11. State of the art Computing Grid For data crunching applications Collaboration Knowledge Grid Intelligent use of Data Grid for knowledge creation and tools provisions to all users Data Grid Distributed and optimized storage of large amounts of accessible data

12. Technical Challenges • Distributed data integration and computing • Security • Performance • Standards • Need for reference implementations of standard grid services • Lack 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 centres • Easy installation of secure grid nodes • Friendly user interface

13. Other challenges • Specific features of the community • Patient ownership of her or his data • Hospitals IT policies vs grids • Technology transfer between projects • Development of best practices • Interfacing IT resources for clinical routine to grid • Data sharing (and major ethical implications) • Raising awareness of grids • Need to build on success stories

14. Healthcare Healthcare / / biomedical biomedical Applications Applications Knowledge Knowledge grid grid Grid Grid Grid Grid HealthGrid Healthgrid services services Data Data Computing Computing Core Core services services infrastructure infrastructure 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.

15. phase 1 phase 2 Sustainable data grid Sustainable knowledge grid Generalized use of knowledge grids Sustainable computing grid Reference implementation of grid services Agreed medical informatics & grid standards Agreed open source medical ontologies Toward a roadmap Reference distribution of grid services

16. Milestones I • In relation to technology • IT.1 A reference implementation of grid servicesusing standard web service technology and allowing computation and secure manipulation of distributed data • IT.2 A reference distributionof a reference implementation of grid services for the installation of grid nodes in medical research centres • IT.3 An agreed set of standardsfor sharing medical images and records on the grid • IT.4 Agreed and implemented open source medical ontologies

17. Milestones II • In relation to deployment • GD.1 A sustainable computing grid infrastructure for the medical research community • GD.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

18. Milestones III • In the first phase: • GD.1 A sustainable computing grid infrastructure for the medical research community • IT.1 A reference implementation of grid servicesusing 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 distributionof a reference implementation of grid services for the installation of grid nodes in medical research centres

19. Milestones IV • In the second phase: • IT.3 An agreed set of standardsfor 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

20. phase 1 phase 2 Sustainable data grid Sustainable knowledge grid Generalized use of knowledge grids Sustainable computing grid Reference implementation of grid services Agreed medical informatics & grid standards Agreed open source medical ontologies Toward a roadmap Reference distribution of grid services

21. Technical Roadmap Diagram

22. ELSE Roadmap Diagram Duty of care MEL1 MEL2 Patient consent and access to data Predicting possible damage, determining liability of professionals, logging & auditing ELSE MDP1 MDP2 De - identification & encryption Pseudo/anonymisation and identity protection ME1 MP1 ME2 MP2 MP3 Ethical Privacy, confidentiality, Ethical Privacy, confidentiality, Privacy, confidentiality, control ethical and quality policies ethical and quality policies ethical and quality policies control for a computational grid for a data grid for a knowledge grid Legislation Development of grid security services Medical Legal

23. Integrated Roadmap Diagram Duty of care EHR development DICOM development Development and mapping of medical ontologies MS1 Grid DICOM Standards MS2 Grid EHR MD1 MD2 MD3 Computational grid Data grid production Research knowledg e grid Deployment environment demo production environment production environment demo demo MT1 Testing grid middleware(s) with medical applications at a significant scale Technical MT2 Production of a reference distribution of healthgrid services Version 1 Version 2 Version 3 MEL1 MEL2 Patient consent and access to data Predicting possible damage, determining liability of professionals, logging & auditing ELSE MDP1 MDP2 De - identification & encryption Pseudo/anonymisation and identity protection ME1 MP1 ME2 MP2 MP3 Ethical Privacy, confidentiality, Ethical Privacy, confidentiality, Privacy, confidentiality, ethical and quality policies - ethical and quality policies ethical and quality policies control control for a computational grid for a data grid for a knowledge grid Medical L egislation Legal Development of grid security Development of Web services Services

24. Healthcare Healthcare / / biomedical biomedical Applications Applications Knowledge Knowledge grid grid Grid Grid Grid Grid HealthGrid Healthgrid services services Data Data Computing Computing Core Core services services infrastructure infrastructure • 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.

25. Research challenges for: Computing grids Data grids Knowledge grids RCCG2 RCCG4 TIME Interoperability of Infrastructures User friendliness RCCG8 RCCG5 RCCG6 RCCG3 Quality of service RCCG9 On demand access RCCG7 RCCG10 RCCG1 Computational Grids

26. Computational Grids

27. Research challenges for: Computing grids Data grids Knowledge grids TIME RCDG4 RCDG2 RCDG6 Improved distributed data management Distributed data models RCDG5 RCDG7 RCDG1 Quality of service RCDG3 Data Grids

28. Data Grids

29. Research challenges for: Computing grids Data grids Knowledge grids TIME RCKG1 RCKG5 RCKG2 RCKG3 Grid technology challenges Defining standards and ontologies Research area challenges RCKG4 RCKG6 RCKG7 Knowledge Grids

30. Knowledge Grids

31. Challenges & architecture

32. Challenges & complexity

33. HealthGrid 2007, Geneva OGF 20, Manchester e-Health 2007, Berlin MedInfo 2007, Brisbane NEC 2007, Varna EGEE 2007, Budapest Work Package 6 Work Package 5 How will WP6 work in 2007?

34. 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