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Integrated Care and Telemedicine:Any Visible Progress?
Panel, eTelemed 2013Nice, Feb 28, 2013
Moderator: Dr.-Ing. Matthieu-P. Schapranow,Hasso Plattner Institute, Germany
Panel Participants
Moderator: Dr.-Ing. Matthieu-P. Schapranow, Hasso Plattner
Institute, Germany
Panelists
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■ Mads Nyborg, DTU, Denmark
■ Elisabeth Rakus-Andersson, Blekinge Institution of Technology -
Karlskrona, Sweden
■ Anthony Glascock, Drexel University, USA
■ Santosh Vijaykumar, Nanyang Technological University, Singapore
■ Adriano Andrade, Federal University of Uberlândia, Brazil
■ Matthieu-P. Schapranow, Hasso Plattner Institute, Germany
Integrated Care and Telemedicine: Any Visible Progress?, eTelemed Panel 2013, Nice, Feb 28, 2013
Comparison of Costs
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Comparison of Costs for Main Memory and Genome Analysis
Costs per Megabyte RAM Costs per Megabase Sequencing
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Integrated Care and Telemedicine: Any Visible Progress?, eTelemed Panel 2013, Nice, Feb 28, 2013
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Co
sts
inU
SD
In-Memory Technology
Anyattribute asindex
Insert onlyfor time travel
Combinedcolumnand row store
+ Minimalprojections
Partitioning
SQL
LightweightCompression
Multi-core/parallelization
Active/passivedata storePA
Bulk load++
++
Dynamic
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Integrated Care and Telemedicine: Any Visible Progress?, eTelemed Panel 2013, Nice, Feb 28, 2013
No aggregatetables
Analytics onhistoricaldata
t
Single andmulti-tenancy
SQL interfaceon columns &rows
SQL
Reduction oflayers
xx
On-the-flyextensibility
+++T
Text Retrievaland Extraction
Object torelationalmapping
Dynamicmulti-threadingwithin nodes
Mapreduce
No diskGroupKey
High-performance In-memoryGenome Project
■ In-memory technology
leverages real-time analysis
of genetic variants
■ Physicians can build on
latest international research
results at anytime
■ Individual treatment decisions
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■ Individual treatment decisions
can be identified within
minutes instead of weeks
■ Patient cases can be
discussed with world-wide
experts via the Internet
■ Even without sequencing
technology hospitals and
research institutes in developing
countries can practice
personalized medicine
Integrated Care and Telemedicine: Any Visible Progress?, eTelemed Panel 2013, Nice, Feb 28, 2013
Telemedicine and Health Care: The Brazilian Panorama
Prof. Dr. Adriano O. AndradeFederal University of Uberlândia, Brazil
eTELEMED 2013
eTELEMED 2013
The Challenge of Integration:The Challenge of Integration:the Need for Comprehensivethe Need for Comprehensive
eHealth RecordseHealth Records
Anthony P. Glascock, Ph.D.Drexel University, Philadelphia, USA
Need for Home Based ElectronicNeed for Home Based ElectronicRecords SystemRecords System
Drive to deliver more care in the homeDrive to deliver more care in the home
Escalating number of care servicesEscalating number of care services
Growing range of products and nonGrowing range of products and non--carecareservicesservices
Dramatic increase in number of peopleDramatic increase in number of peopleproviding care and services in the homeproviding care and services in the home
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Home Care Records SystemsHome Care Records Systems
Lagging behind institutional systemsLagging behind institutional systems
–– Hospital based systemsHospital based systems–– Hospital based systemsHospital based systems
–– Physician practicesPhysician practices
Need for linkage among different systemsNeed for linkage among different systems
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Need for IntegrationNeed for Integration
Home care records can be a standHome care records can be a stand--alonealone
Integration with other eHealth systemsIntegration with other eHealth systemsmakes all records more usefulmakes all records more usefulmakes all records more usefulmakes all records more useful
Patient centered system should be thePatient centered system should be thegoalgoal
–– SelfSelf--managementmanagement
–– Sharing of records with all carersSharing of records with all carers
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Blekinge Institute of Technology, School of Engineering, Department of Mathematics and Science, Karlskrona, Sweden, www.bth.se
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Presentation of Research Elisabeth Rakus-Andersson – professor in Applied Mathematics
Department of Mathematics and Science Blekinge Institute of Technology
37179 Karlskrona, Sweden
Blekinge Institute of Technology, School of Engineering, Department of Mathematics and Science, Karlskrona, Sweden, www.bth.se
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We use algorithms of computational intelligence
Neural Networks
Evolutionary Computation
Swarm Intelligence
ArtificialImmune Systems
Fuzzy Systems
Blekinge Institute of Technology, School of Engineering, Department of Mathematics and Science, Karlskrona, Sweden, www.bth.se
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Own contributions in computational intelligence
Blekinge Institute of Technology, School of Engineering, Department of Mathematics and Science, Karlskrona, Sweden, www.bth.se
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Main topics of interest
The Lattice of Verbal Fuzzy Numbers in Statistical and Numerical Methods Fuzzy and Rough Set Theory in Approximation and Classification of Point Sets - Applications to Telecommunications Tasks Fuzzy Set Theory in Medicine Computational Intelligence (neural networks, evolutionary algorithms, immunological systems, particle swarm) in Medicine
Blekinge Institute of Technology, School of Engineering, Department of Mathematics and Science, Karlskrona, Sweden, www.bth.se
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Fuzzy set theory in medicine Medical diagnosis (compositional rule of inference) tested on coronary heart disease
Medication:
• evaluation of medicine action level (fuzzy eigen sets) tested on heart medicines
• choice of the most efficacious treatment (fuzzy decision making) tested on treatments in toxoplasmosis, gastric cancer, radiation cystitis
Estimation of survival length in cancer diseases (fuzzy Mamdani and Sugeno control systems)
Approximation of operation chance in cancer diseases (approximate reasoning)
Blekinge Institute of Technology, School of Engineering, Department of Mathematics and Science, Karlskrona, Sweden, www.bth.se
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Computational intelligence in medicine
Operation decision “operate” contra “do not operate” for gastric cancer patients (negative selection algorithm, neural perceptron) Grade of decision ”operate” for gastric cancer patients (fuzzy 2-means clustering) Choice of operation type for gastric cancer patients (rough set classification)
Blekinge Institute of Technology, School of Engineering, Department of Mathematics and Science, Karlskrona, Sweden, www.bth.se
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Grants
Three grants from the Swedish Royal Academy of Sciences (theoretical development of fuzzy mathematics "Fuzzy Sets and Fuzzy Statistics in Medical Applications" from the Blekinge Research Committee in 2008 (application of fuzzy and rough models to medical techniques) "Fuzzy Sets, Rough Sets and Fuzzy Statistics in Medical Applications" from the Blekinge Research Committee in 2009 (application of fuzzy and rough models to medical techniques) "Fuzzy Sets, Rough Sets and Fuzzy Statistics in Treatment of Gastric Cancer Patients" from the Blekinge Research Committee in 2010 (the application of fuzzy and rough models to evaluation of survival lengths and the choice of operation types)
Integrated Care and Telemedicine: gAnyVisible Progress?
Panellist:M d N b DTU C tMads Nyborg , DTU [email protected]
Context awareness in home care IT Context awareness in home care IT li tili tiapplicationsapplications
Introduction – Home care Are PDA’s (Personal Digital Assistant) a Are PDA s (Personal Digital Assistant) a
helper or a burden? Context awareness
A li i h ld i i i h ◦ Application should participate in the workflow◦ Minimise typing!◦ Location info?◦ Location info?
Application “Smart Nursing”pp g
2DTU Compute Department of Applied Mathematics and Computer Science
A li ti A li ti ““S t S t N iN i ””Application Application ““Smart Smart NursingNursing””
◦ Voice messaging systemI d i ti Improved communication
◦ Day scheduler◦ Map integration ColleaguesColleagues
◦ Profiler Sound settings Status managementg Customized address-book
3DTU Compute Department of Applied Mathematics and Computer Science