smarter biodiagnostic devices: intelligent device … · · 2014-11-17phealth 2009 - seminar: ......
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"Smarter" biodiagnostic devices: Intelligent device communication
and data interpretation
Stephan Kiefer Fraunhofer-Institut für Biomedizinische TechnikDepartment Telematics / Intelligent Health Systems
pHealth 2009 - Seminar: Cancer diagnostics
29.06.20092
Fraunhofer Institute for Biomedical Engineering
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One of the 58 institutes of the Fraunhofer Society
Founded in 1987, ~220 employees
~ 300 projects, thereof 100 industrial projectsBiotechnologyBiohybrid SystemsCryo-BiotechnologyStem Cell Research Neuromonitoring, NeuroprostheticsMiniaturized SystemsUltrasound SystemseHealth, Telemedicine & Ambient Assisted Living
Vision of Intelligent Biodiagnostic Devices
Advanced capabilities for context awareness, ubiquitous computing in the ambient health information environment, data interpretation support and new point-of-care driven medical software applications and e-health services
SmartHEALTH Scenario:
Patient Self-Testing within a disease
management programme
i.e. breast cancer monitoring
@Home
Doctor‘s Practice
HIS
Hospital
SmartHEALTHIntegrated Instrument
@Home
Doctor‘s Practice
HIS
Hospital
Doctor‘s Practice
HIS
Doctor‘s Practice
HIS
HospitalHospital
SmartHEALTH ScenarioDoctor's Practice
SmartHEALTH Analyzer
Doctor's Practice
HIS
Hospital
SmartHEALTHInformation System
Repository with
AnalyzerData
i.e. cervical cancer/ colon cancer screening
Smart interaction with the patient’s EHRPresentation of cancer marker results
Marker visualization is given in table form
and astrend curves
Case report forms for different cancer
applications
Integrated disease classification with multivariate bioinformation
analysis tools Interpretation of multi parameter cancer marker measurement with:
Trained Neural NetworkBayesian NetworkSupport Vector Machine
Three different methods for processing the current measurement to provide a better reliability of the interpretation.
Integrated update mechanism to use always the latest classifiers.
Data Interpretation Methods on SmartHEALTH Information System for automatic download and execution by the device
Integrated disease classification with multivariate bioinformation
analysis tools
HL7 Interface of SmartHEALTH ICT Platform with legacy HL7 based HISs
SmartHEALTH Communications:SOA and HL7 Interoperability
SmartHEALTHInformation System
or SmartHEALTH Device
Hospital Information Systemi.e. myCare2x
HL7 v2.xOpen Source
HL7 Integration
Enginemirth
HL7 v2.3
Web Services
HL7 2.3 interface with MIRTH and HAPI open source packages completed; Message support for sending analysis results and registering new patients
“Ambient intelligent medical devices”:Have the ability to semantically discover and match the desired medical devices in a pure (un)structured P2P network, based on their physical and/or functional characteristics
Physical characteristics are/can exhibited through a device ontology while functional characteristics (Semantic Web Services) are/can exhibited through SAWSDL
Middleware framework for semantic interoperability of medical devices, sensors and health information systems
Have the ability to consume and offer the Semantic Web Services, to achieve the goal of plug-and-play interoperabilityOperate autonomously with an integrated reasoning / KB system
BroadcastUnicast
1-Search.req q
2-Search.res ra
2-Search.res rc
Device A (Blood Analyzer)
Device C (Urine Analyzer)
Cancer Markers Analyzer
Device B (Blood Glucose)
SmartHEALTH Communications:Semantic Medical Device Space
Applications of SMDS:Ambient assisted living scenariosIntensive care units and operation theatres Hospital asset tracking/managementService-oriented integration of networked robots with ubiquitous sensors and devicesInternet of thing
Semantic Medical Device SpaceFirst Framework available
Components of SMDS:SMDDP (Semantic Medical Device Discovery Protocol)
SCENT (Semantic Medical DeviCELanguage for N-Triples)SCENTRA (SCENT Resolution Algorithm)
µOR (A micro OWL DL Reasoner)
MeDO (Medical Device Ontology)
Minimal Jetty Web Server / CSOAP Web Service server
SmartHEALTHAgent Technologies
T1 - Appointment Finder between a health practitioner/physician and a patient
Biometric User Identification
Provides easy and fast device access
Traceability of users responsible for measurements
No need to remember username or password
Other alternative identification methods
SmartHEALTH delivered an innovative instrument platform for cancer marker analysis at the point-of-care. Instrument platform is empowered by a respective ICT platform for ambient health information management and data interpretation supportBiomarker analysis includes advanced bioanalytical data interpretation methods such as Neural Networks, Support Vector Machines and Bayesian Networks.Devices provide semantic communication capabilities for ad-hoc communication with medical devices and interoperability with HL7 based medical information systems
Conclusions/Key Achievements
Acknowledgements
The SmartHEALTH project is partly funded by the European Commission (IST-NMP-2-016817)
www.smarthealthip.com