Post on 10-Dec-2014
description
eSanté –
et quelques projets
Henning Müller
Informatics in health
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eHealth
Bioinformatics Medical informatics
Health informatics
Biomedical informatics
e-health
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 management and other administrative tasks surrounding health.
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A revolution in healthcare?
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… 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
• Ideas for a legal framework
• Ideas of certification and accreditation
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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
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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
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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
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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
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Riding the wave – how Europe can gain
from the rising tide of scientific data, report
of the European Commission, 10/2010.
… and big data?
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1GB of data
1px = 10 MB
typically used
Monthly production of hospitals (4
TB)
12 Georg Langs | www.cir.meduniwien.ac.at
1GB data
Yearly production (~48 TB)
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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
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Khresmoi
• 4 year, 10’000’000 € budget
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Khremoi goals
• Trustable information adapted to each user group
• All tools as open source
• Extract semantic information from all sources
• LinkedLifeData
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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
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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
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Medicoordination
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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
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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
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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
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