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

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eSanté et quelques projets Henning Müller

description

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.

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

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eSanté –

et quelques projets

Henning Müller

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Informatics in health

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eHealth

Bioinformatics Medical informatics

Health informatics

Biomedical informatics

e-health

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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

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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.

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… and big data?

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1GB of data

1px = 10 MB

typically used

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Monthly production of hospitals (4

TB)

12 Georg Langs | www.cir.meduniwien.ac.at

1GB data

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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

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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:

[email protected]

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