VIRTUAL INFORMATION SPACE for HEALTH CARE by APPLIED LOGIC LABORATORY

Applied Logic Laboratory2 NEED Current 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.

Applied Logic Laboratory3 SOLUTION A 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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5 REALISATION The 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.

Applied Logic Laboratory6 COMPONENTS of the VIRTUAL INFORMATION ENVIRONMENT EPR knowledge base data provisioncase processing

Applied Logic Laboratory7 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.

Applied Logic Laboratory8 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)

Applied Logic Laboratory9 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.

Applied Logic Laboratory10 REMOTE MONITORING It 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.

Applied Logic Laboratory11 REMOTE MONITORING Sensors Data processing Messages- suggestions Intelligent control Communication device Monitoring centre Decision support Decision making Communication device Knowledge base Communication device patient

Applied Logic Laboratory12 CASE PROCESSING Case processing is the generic activity in the virtual information environment aiming at interpreting data, generating diagnostic hypothesis, and selecting therapeutic interventions by combining knowledge items with patient specific data.

Applied Logic Laboratory13 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, and  revision of the patient specific model. DATA ANALYSIS

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Applied Logic Laboratory15 KNOWLEDGE MANAGEMENT Knowledge management includes techniques for knowledge acquisition, maintanence, editing and revision in the light of new scientific theories and experimental data.

Applied Logic Laboratory16 EXTRACTING KNOWLEDGE from EPR EPR data analysis knowledge engineer editors knowledge base