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

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Cette conférence - e-santé : évolution ou révolution? - a pour but de présenter quelques projets développés par les hautes écoles et entreprises de pointe dans le domaine. A cette occasion, ...

Cette conférence - e-santé : évolution ou révolution? - a pour but de présenter quelques projets développés par les hautes écoles et entreprises de pointe dans le domaine. A cette occasion, Prof. Dr. Henning Müller a fait un exposé intitulé: La e-santé en général et quelques projets de la HES-SO Valais.

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

  • 1. eSanté – et quelques projetsHenning Müller
  • 2. Informatics in health Biomedical informaticsMedical 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 (4TB) Georg Langs | www.cir.meduniwien.ac.at 12
  • 13. Yearly production (~48 TB) 13
  • 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
  • 20. Medicoordination 20
  • 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