VIRTUAL INFORMATION SPACE for HEALTH CARE byAPPLIED LOGIC LABORATORY

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NEEDCurrent forms of health care delivery typically suffer from a contradiction: clients/patients are managed in different sites and institutions, but data generated locally may be needed generally by health care providers regardless of the institution in which they work.

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SOLUTIONA telemedicine system, which is able to create a unified virtual information environment serving activities within different health care institutions and locations at which clients or patient receive some form of prevention and care.

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locations for patient-doctor encounters

virtual informationenvironment for

healthcare

IBM Compatible ... IBM Compatible

IBM Compatible

diagnosticunit

monitoring inhome care

monitoring inhazardoussituations

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REALISATIONThe core of the virtual information environment is a virtual patient data base through which health care providers in different institutions can have access to patient data (EPR). The passive information environment is also complemented by active functions. Such techniques allow to visualise, process and summarise data from different perspectives. Data and information processing is based on the knowledge represented as care guidelines, diagnostic methods and clinical scenarios/case histories.

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COMPONENTS of the VIRTUAL INFORMATION ENVIRONMENT

EPR knowledge base

data provision

case processing

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VIRTUAL ELECTRONIC PATIENT RECORD

In contrast to fragmented patient data bases, the multimedia virtual patient record allows health care providers in different institutions to have access to patient data. Users see data as they were stored in a single electronic patient record, but actually no centralised data base exists and physically data items are stored locally where they were generated.

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KNOWLEDGE BASE clinical terminology and relations between

clinical concepts are stored in a terminology base represented by OO model supplemented by production rules,

health care guidelines are represented using the GLIF3 standard,

descriptive models of diseases are represented by symptome-syndrome trees (evaluated by threshold logic)

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EPR

TERMINOLOGY BASE

KNOWLEDGE BASE

LINKING KNOWLEDGE to DATA

The terminology base links knowledge and data. Knowledge and terminology base as well as EPR are organised according to an OO model.

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REMOTE MONITORINGIt is required to realize integrated mobile healthcare services supporting the mobility of patients and health professionals. In order to support mobility an integrated set of sensors have been developed that measure blood oxygen saturation, heart rate, skin temperature and resistance complemented by an embedded service for interpreting sensor data. This application is able to integrate and process sensor data and to indirectly conclude physiological and psychological parameters.

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REMOTE MONITORINGSensors

Data processing

Messages-suggestions

Intelligent control

Communication device

Monitoring centre

Decision support

Decisionmaking

Communication device Knowledge

base

Communication device

patient

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CASE PROCESSINGCase processing is the generic activity in the virtual information environment aiming at

interpreting data,generating diagnostic hypothesis, andselecting therapeutic interventions

by combining knowledge items with patient specific data.

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Intelligent data analysis helps to extract information from raw patient data. It includes

data visualization,data summarisation,consistency checking,temporal reasoning,pattern and problem extraction, andrevision of the patient specific model.

DATA ANALYSIS

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r a wd a t a s t o r y p r o b l e m

c a u s e sp r o b l e m s s u g g e s t e da c t i o n s

i n c o n s i s t e n c i e sd e t e c t e d ?

R e v i s e d p a t i e n t m o d e l

I N T E L L I G E N T D A T A A N A L Y S I S

s u m m a r i z e d a t a

c o n s i s t e n c yc h e c k i n g

i d e n t i f y p r o b l e m s

d i a g n o s e p r o b l e m s

s o l v e p r o b l e m s

r e - a n a l y z e d a t a

M o n i t o r i n g

i f n o p r o b l e m h a s b e e n d e t e c t e dY E S

N O

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KNOWLEDGE MANAGEMENT

Knowledge management includes techniques for knowledge acquisition, maintanence, editing and revision in the light of new scientific theories and experimental data.

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EXTRACTING KNOWLEDGE from EPR

EPR

data analysis

knowledge engineer

editors

knowledge base