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Cancer surveillance network on a grid infrastructure

Cancer surveillance network on a grid infrastructure. Paul De Vlieger LPC CNRS - IN2P3 ERIM. Outline. Introduction & Context Cancer Screening Problems The RSCA project Idea Architecture Technical description Specific issues Security Patient identification Roadmap & Conclusion.

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Cancer surveillance network on a grid infrastructure

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  1. Cancer surveillance network on a grid infrastructure Paul De Vlieger LPC CNRS - IN2P3 ERIM

  2. Outline Introduction & Context • Cancer • Screening • Problems The RSCA project • Idea • Architecture • Technical description Specific issues • Security • Patient identification Roadmap & Conclusion Cancer surveillance network on a grid infrastructure

  3. 1) Introduction & Context Cancer surveillance network on a grid infrastructure

  4. Introduction Cancer surveillance network on a grid infrastructure Cancer in World • Major public health problem • 25% deaths in US • Rise of Cancer care costs In Europe • 2006: 1.2Million deaths One third can be evitable: • lifestyle, diet, vaccination, screening Breast Cancer • Status #1 for women (25% new cases) • Easy to investigate

  5. Cancer challenges Screening • “Earlier is better” In EU: • Breast Cancer • 59 Million women • 41% targeted in the 11 member states which deployed nationwide screening program • Colon Cancer • 136 Million women & men • 43% targeted in 12 states • Cervical Cancer • 109 Million women • 51% targeted in 15 states • Melanomas (soon) Cancer surveillance network on a grid infrastructure

  6. Cancer fighting impact Epidemiology • Publishes indicators about mortality, incidence and prevalence of cancers. • European, national and regional epidemiology structures exists • Evaluate the screening programs Statistics over cancer • Really hard to estimate • Relevance of information Needed to evaluate the impact of screening campaigns Cancer surveillance network on a grid infrastructure

  7. Cancer incidence & mortality Deaths Source: IARC Cancer surveillance network on a grid infrastructure Cases of cancers in EU in 2006

  8. Breast cancer incidence Source: cancer screening in European Union – Report 2007 Breast cancer incidence in EU states in 2004 Cancer surveillance network on a grid infrastructure

  9. Breast cancer screening Screening Structure Invitation: All women > 50 Mammography Problem Biopsy Cancer treatment loop Anatomical pathology report Cancer surveillance network on a grid infrastructure

  10. Problems No automatic data transfer between anatomic pathology laboratories and cancer screening structures: • Data requested by fax of carried out by hand Side effects: • Reinterpretation, retype of data : time consuming activity • Invitation of already infected persons • Self evaluation biased due to a lack of information about non-respondents: • Are they already affected? • Is a cancer diagnosed between 2 invitations? Cancer surveillance network on a grid infrastructure

  11. Problems (2) Anatomical pathologists • Refuses to share their data: • The French union of cytopathologists requested his members not transmit their data • The old procedure (CRISAP) have some drawbacks: • Physicians have to do the job themselves • Data is taken out of the production area • The usage of the results does not mention the sources • No patients disambiguation is done • Most of CRISAPs are now idle: • Impact the quality of statistical indicators at different scales Cancer surveillance network on a grid infrastructure

  12. Case of Auvergne Region of France: 1,3Million of habitants 2 screening structures: ARDOC & ABIDEC Several Anatomical pathology laboratories (private & public) (6) • #1 data holder on cancer • Realizes biopsies and analysis of cancers: stade, gravity, metastases • NO cancer without Anatomic-pathology report Crisap structure • Anatomic pathology data centralization Cancers registers Cancer surveillance network on a grid infrastructure

  13. 2) The RSCA Project Cancer surveillance network on a grid infrastructure

  14. The RSCA project “A grid-enabled surveillance network” Query anatomical pathology laboratories databases on demand • Using grid technologies • No massive extraction of databases • Respectful of data ownership • Respectful of patient privacy • Compliant with data processing laws • Use of cryptographic algorithms • Guarantying all security requirements • Using grid security layers • Strong authentication methods Cancer surveillance network on a grid infrastructure

  15. Sentinel network Anatomic pathology lab Screening Structure GRID Anatomic pathology lab Screening Structure Anatomic pathology lab National / Regional Epidemiology Crisap database Cancer surveillance network on a grid infrastructure

  16. Architecture Cancer surveillance network on a grid infrastructure

  17. Pandora Gateway Designed in the health-e-child project by Maat-Gknowledge • Medical data accessibility • High level of security • Production status Set of software designed as a SOA • Designed to enable secure access to services needed by end-users • Complete abstraction of low-level business • Databases, gLite, globus… Cancer surveillance network on a grid infrastructure

  18. Pandora Gateway architecture Business Logic Domain Logic Logging Security Workflow management Abstraction layer Middleware: glite / database /globus Cancer surveillance network on a grid infrastructure

  19. Pandora Gateway: Security Pandora Gateway VOMS Authentication Service Service 1 Service 2 Service 3 Source: Maat-Gknowledge

  20. Technical architecture Certification Authority + GIPCPS Cancer surveillance network on a grid infrastructure

  21. 3) Specific issues Cancer surveillance network on a grid infrastructure

  22. Security requierements Business logic part: • Pandora GateWay • PKI • GSI • VOMS • Logging On the authentication part: • Use of electronic health cards • Contains a trusted certificate (X.509) and engage the physician responsibility • Available in France and soon in EU • Obligatory to obtain agreements for nominative medical data exchange Cancer surveillance network on a grid infrastructure

  23. Patient identification Patient X Patient X Id= S32AV48 Name= Martin D= 17/01/65 ADDR= [...] Id= 1292761 Name= Martin D= 17/01/65 ADDR= [...] Cancer screening AnatomicpathologyLab • Data server • Data server Major issue in a model healthcare system • Difficulties to build the electronic health record • Use of existing identifiers are strictly supervised How to provide a way to identify surely persons while respecting their privacy? • Linking existing identifiers • Avoiding false matching Cancer surveillance network on a grid infrastructure

  24. Proposition of solution Add a specific identifier for the sentinel network • uuid type: 110E8400-E29B-11D4-A716-446685440000 When a data provider upload data to the sentinel network: • A request is sent to the central server (GateWay) with the identification informations of the patient • The central server routes the requests to all data sources and return an identification number • Either an existing number if the patient is already known • Or a new one • In case of doubt (matching incomplete), a manual intervention is needed to settle the problem • Then the identifier retrieved is encrypted with the local public key of the data provider When a user asks for patient information: • The request is straightforward as the sentinel network contains only well-identified data, statistics requests are free of doubloons Cancer surveillance network on a grid infrastructure

  25. Virtual identification database Sentinel network Data provider Physician Central security server GRID Server Private Server DATA input Firewall Identification server privkey Virtual identification database privkey pubkey pubkey For a patient X: Id association = folder XXXXX Id anapath= folder XXXXX Id sentinel = A47X…A251 -> B123….A231 -> 71D3….E127 -> 77A2….82F1 Firewall Screening Private Information GRID server Private Server Data I/O Public Information privkey pubkey

  26. Roadmap & Conclusion Cancer surveillance network on a grid infrastructure

  27. Roadmap 03/2008: start of discussions 12/2008: list of requirements 02/2009: developer team agreements 03/2009: creation of the RSCA association • Manager of the sentinel network 07/2009: prototype alpha • Installation in one Lab, one screening structure in Clermont-Ferrand • Smart cards APIs ready • Focus on breast cancer 12/2009: prototype beta & first exchanges 2010-? debugging & extension Cancer surveillance network on a grid infrastructure

  28. Conclusion Possibilities • Medical Data Exchange • Nominative patients sheets • Reliable patient identification system • Statistics & epidemiology • Global view of cancer data source Future extensions • Medical images (mammograms) • MDM already answered (gLite) • Other types of cancer • Other data sources, other clients • Calculation? Workflows? Cancer surveillance network on a grid infrastructure

  29. Thanks Cancer surveillance network on a grid infrastructure

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