"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

- -

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