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eSanté –
             et quelques projets

Henning Müller
Informatics in health

           Biomedical informatics

Medical informatics            Bioinformatics
                    eHealth
                    e-health

              Health informatics

                                                2
A larger definition (wikipedia)
 •   Electronic health records: enabling the communication of patient data
     between healthcare professionals (interoperability, health cards, …)
 •   Telemedicine: physical and psychological treatments at a distance
 •   Consumer health informatics: use of electronic resources on medical
     topics by healthy individuals or patients
 •   Health knowledge management: medical journals, best practice
     guidelines or epidemiological tracking (LinkedLifeData)
 •   Virtual healthcare teams: consisting of healthcare professionals who
     collaborate and share information on patients through digital
     equipment
 •   mHealth or m-Health: includes the use of mobile devices
 •   Medical research using Grids: powerful computing and data
     management capabilities to handle large amounts of heterogeneous
     data
 •   Healthcare Information Systems: often refer to software for
     appointment scheduling, patient data management, work schedule          3
A revolution in healthcare?




                              4
… et en Suisse
 •   http://www.e-health-suisse.ch/
     •   Web page is always updated with last initiatives
 •   Much work has been going on for several
     years
     •   June 2007: eHealth strategy for Switzerland was
         decided
         •   Core groups on specific topics
         •   Larger groups involving all interested stakeholders

 •   There are now:
     •   Technical and semantic standards
     •   An organizational vision and definition of processes
                                                                   5
A legal framework
 •   An eHealth law is under preparation
     •   Future law on the electronic patient record
         (EPDG-LDEP), in the parliament in 2013
     •   Collaboration between the confederation and the
         cantons (a long/slow process)
 •   Companies need to follow the standards
     •   Otherwise there will be no access to the markets
 •   Medical software is a medical device
     •   Security needs to be assured, certification

                                                            6
Pilot tests in the cantons
 •   e-Toile in Geneva
     •   More information at http://www.e-toile-ge.ch
     •   Data accessible in decentralized form,
         confidentiality and security are regarded as
         extremely important
     •   Patient can decide on access with a physician
     •   Data access only with patient and professional
         card
 •   Rete sanitaria in Tessin
     •   Health network started in 1999
     •   Partial evaluation by eHealthSuisse              7
eSanté à Sierre
 •   Many eHealth activities since 2007
     •   eHealth unit since 2010
     •   20 persons and three professors
     •   Michael Schumacher, Alexandre Cotting, Henning
         Müller
 •   Several types of projects
     •   EU FP7 projects (Khresmoi, PROMISE, WIDTH,
         VISCERAL, MD-Paedigree, Commodity12, …)
     •   FNS projects (MANY, NinaPro, …)
     •   CTI, Hasler, COST, HES-SO, NanoTerra, mandates
                                                          8
eHealth topics in Sierre
 •   Health data management and
     interoperability
     •   Semantic interoperability for document exchanges
     •   Health information retrieval
     •   Medical image analysis and retrieval
     •   Analysis of big data
 •   Clinical decision support
     •   On temporal data using intelligent agents
     •   Combining multimodal data of various sources
     •   Using signal and image data with other sources
                                                            9
Motivation for image management
 • “An image is worth a thousand words”

 • Medical imaging is estimated
   to occupy 30% of world
   storage capacity in 2010!
 • Mammography data in the
   US in 2009 amounts to
   2.5 Petabytes



                           Riding the wave – how Europe can gain
                           from the rising tide of scientific data, report
                           of the European Commission, 10/2010.
                                                                        10
… and big data?




                  1GB of data

                                 1px = 10 MB
                                typically used




                                                 11
Monthly production of hospitals (4
TB)




             Georg Langs | www.cir.meduniwien.ac.at
                                                      12
Yearly production (~48 TB)




                             13
Big data challenges and opportunities
 •   Signal data in the images needs to be
     mapped to semantic information
     •   Reduce amount of data to keep accessible
     •   Get information for decision support
     •   Information of interest can be extremely small
 •   Simple and efficient tools are required
     •   And these might work better on big data
 •   Many rare diseases could be analyzed
     •   These are difficult as people do not know them,
         they are missed and incorrectly treated
                                                           14
VISCERAL
•   EU funded project (2012-2015)
    •   HES-SO, ETHZ, UHD, MUW, TUW, Gencat
•   Organize competitions on medical image
    analysis on big data (10-40 TB)
    •   All computation done in the cloud, collaboration with
        MS
    •   Identifying landmarks in the body
    •   Finding similar cases
•   Annotation by
    experts
                                                                15
Khresmoi
 • 4 year, 10’000’000 € budget




                                 16
Khremoi goals
•   Trustable information adapted to each user
    group
    •   All tools as open source
•   Extract semantic information from all sources
    •   LinkedLifeData




                                                    17
Current status
 •   Project at the beginning of year 3 of 4 years
     •   Half-time
 •   User tests have started among the three user
     groups (much feedback on prototypes
     expected)
     •   Different types of interfaces
     •   Eye tracking
 •   Implement changes
     to adapt to the user
     groups
                                                     18
NinaPro
• Funded by the FNS, lead by IDIAP

• Acquisition of signal data from healthy
  and hand-amputated persons
• Improve control of prostheses through
  the signal data, to catch up with robotics
 •   Learn better and fast!
 •   Share the data to advance research




                                               19
Medicoordination




                   20
DiagnosticAid


 •   CTI project



 •   Goals:
     •   Give to general practitioners a system for decision
         support based on clinical practical guidelines
     •   Obtain all the necessary data from the other care
         partners and include them into the medical record
         MediWay
                                                               21
Conclusions
 •   eHealth concerns all of us
     •   Health is becoming increasingly “e”
 •   Much practical work and many research
     projects exist in Switzerland
     •   Ranging from robotics, via images and signals to
         analysis of all types of data
 •   Many opportunities exist for public-private
     partnerships
     •   From start ups towards collaborations with larger
         companies

                                                             22
Questions?
 •   More information can be found at
     •   http://aislab.hevs.ch/
     •   http://medgift.hevs.ch/
     •   http://publications.hevs.ch/
     •   http://www.khresmoi.eu/


 •   Contact:
     •   Henning.mueller@hevs.ch


                                        23

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La eHealth en général et quelques projets de la HES-SO Valais

  • 1. eSanté – et quelques projets Henning Müller
  • 2. Informatics in health Biomedical informatics Medical informatics Bioinformatics eHealth e-health Health informatics 2
  • 3. A larger definition (wikipedia) • Electronic health records: enabling the communication of patient data between healthcare professionals (interoperability, health cards, …) • Telemedicine: physical and psychological treatments at a distance • Consumer health informatics: use of electronic resources on medical topics by healthy individuals or patients • Health knowledge management: medical journals, best practice guidelines or epidemiological tracking (LinkedLifeData) • Virtual healthcare teams: consisting of healthcare professionals who collaborate and share information on patients through digital equipment • mHealth or m-Health: includes the use of mobile devices • Medical research using Grids: powerful computing and data management capabilities to handle large amounts of heterogeneous data • Healthcare Information Systems: often refer to software for appointment scheduling, patient data management, work schedule 3
  • 4. A revolution in healthcare? 4
  • 5. … et en Suisse • http://www.e-health-suisse.ch/ • Web page is always updated with last initiatives • Much work has been going on for several years • June 2007: eHealth strategy for Switzerland was decided • Core groups on specific topics • Larger groups involving all interested stakeholders • There are now: • Technical and semantic standards • An organizational vision and definition of processes 5
  • 6. A legal framework • An eHealth law is under preparation • Future law on the electronic patient record (EPDG-LDEP), in the parliament in 2013 • Collaboration between the confederation and the cantons (a long/slow process) • Companies need to follow the standards • Otherwise there will be no access to the markets • Medical software is a medical device • Security needs to be assured, certification 6
  • 7. Pilot tests in the cantons • e-Toile in Geneva • More information at http://www.e-toile-ge.ch • Data accessible in decentralized form, confidentiality and security are regarded as extremely important • Patient can decide on access with a physician • Data access only with patient and professional card • Rete sanitaria in Tessin • Health network started in 1999 • Partial evaluation by eHealthSuisse 7
  • 8. eSanté à Sierre • Many eHealth activities since 2007 • eHealth unit since 2010 • 20 persons and three professors • Michael Schumacher, Alexandre Cotting, Henning Müller • Several types of projects • EU FP7 projects (Khresmoi, PROMISE, WIDTH, VISCERAL, MD-Paedigree, Commodity12, …) • FNS projects (MANY, NinaPro, …) • CTI, Hasler, COST, HES-SO, NanoTerra, mandates 8
  • 9. eHealth topics in Sierre • Health data management and interoperability • Semantic interoperability for document exchanges • Health information retrieval • Medical image analysis and retrieval • Analysis of big data • Clinical decision support • On temporal data using intelligent agents • Combining multimodal data of various sources • Using signal and image data with other sources 9
  • 10. Motivation for image management • “An image is worth a thousand words” • Medical imaging is estimated to occupy 30% of world storage capacity in 2010! • Mammography data in the US in 2009 amounts to 2.5 Petabytes Riding the wave – how Europe can gain from the rising tide of scientific data, report of the European Commission, 10/2010. 10
  • 11. … and big data? 1GB of data 1px = 10 MB typically used 11
  • 12. Monthly production of hospitals (4 TB) Georg Langs | www.cir.meduniwien.ac.at 12
  • 14. Big data challenges and opportunities • Signal data in the images needs to be mapped to semantic information • Reduce amount of data to keep accessible • Get information for decision support • Information of interest can be extremely small • Simple and efficient tools are required • And these might work better on big data • Many rare diseases could be analyzed • These are difficult as people do not know them, they are missed and incorrectly treated 14
  • 15. VISCERAL • EU funded project (2012-2015) • HES-SO, ETHZ, UHD, MUW, TUW, Gencat • Organize competitions on medical image analysis on big data (10-40 TB) • All computation done in the cloud, collaboration with MS • Identifying landmarks in the body • Finding similar cases • Annotation by experts 15
  • 16. Khresmoi • 4 year, 10’000’000 € budget 16
  • 17. Khremoi goals • Trustable information adapted to each user group • All tools as open source • Extract semantic information from all sources • LinkedLifeData 17
  • 18. Current status • Project at the beginning of year 3 of 4 years • Half-time • User tests have started among the three user groups (much feedback on prototypes expected) • Different types of interfaces • Eye tracking • Implement changes to adapt to the user groups 18
  • 19. NinaPro • Funded by the FNS, lead by IDIAP • Acquisition of signal data from healthy and hand-amputated persons • Improve control of prostheses through the signal data, to catch up with robotics • Learn better and fast! • Share the data to advance research 19
  • 21. DiagnosticAid • CTI project • Goals: • Give to general practitioners a system for decision support based on clinical practical guidelines • Obtain all the necessary data from the other care partners and include them into the medical record MediWay 21
  • 22. Conclusions • eHealth concerns all of us • Health is becoming increasingly “e” • Much practical work and many research projects exist in Switzerland • Ranging from robotics, via images and signals to analysis of all types of data • Many opportunities exist for public-private partnerships • From start ups towards collaborations with larger companies 22
  • 23. Questions? • More information can be found at • http://aislab.hevs.ch/ • http://medgift.hevs.ch/ • http://publications.hevs.ch/ • http://www.khresmoi.eu/ • Contact: • Henning.mueller@hevs.ch 23