Using Knowledge Management Technologies in Searching Medicinal Learning Objects

Puustjärvi, Juha; Puustjärvi, Leena

doi:10.1109/etelemed.2009.45

Cited by 2 publications

(4 citation statements)

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“…In these graphical representations ellipses represent classes and subclasses while rectangles represent data type and object properties. These representations are modeling primitives in OWL [19]. As the graphical representations of these ontologies illustrate Object properties relate objects to other objects (or to itself, e.g., father_item in Fig.…”

Section: Profile and Guideline Ontologymentioning

confidence: 99%

“…As the graphical representations of these ontologies illustrate Object properties relate objects to other objects (or to itself, e.g., father_item in Fig. 3), and datatype properties relate objects to datatype values [19]. In the Profile ontology the class role refers clinician's position, or job, which he or she is qualified to do.…”

Section: Profile and Guideline Ontologymentioning

confidence: 99%

“…Hence, this architecture also supports semantic interoperability, i.e., the ability of two applications to exchange data with unambiguous and shared meaning. In the field of health information achieving semantic interoperability is of prime importance [19].…”

Section: Querying Rdf-data By Sparqlmentioning

confidence: 99%

“…Within computer science, an ontology is usually represented by using the modelling primitives, which are classes, properties, attributes and their values. In this sense they also provide a systematic way for standardizing metadata items [19]. Instead ontology languages provide modeling primitives without stating what should be represented, i.e., they do not commit to any particular subject area [20].…”

Section: Profile and Guideline Ontologymentioning

confidence: 99%

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Selective dissemination of clinical guidelines in healthcare communities

Puustjärvi

Puustjärvi²

2015

2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

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Selective dissemination of information (SDI)refers to methods, which are used to keep a user informed about new information on specified subject area. In this paper, we deal with SDI in healthcare communities. Their members include healthcare authorities and organizations as well as medical societies. We have restricted ourselves on SDI within the scope of Evidence Based Medicine (EMB). It emphasizes the use of medical evidence in decision-making. Within EBM, each clinician is assumed to be familiar with the clinical guidelines of his or her profession. Our research has focused around this challenge, i.e., ensuring that clinicians are aware of the relevant clinical guidelines. In particular, we have analyzed how modern ICT-technologies such as Semantic web technologies can be exploited in managing this problem. The corner stones of our solution are two overlapping ontologies, which are called the Profile ontology and the Guideline ontology. The former ontology models clinicians' job specific aspects such as their roles, skills and competences while the latter ontology models clinical guidelines and their relationships to roles, skills and competences. We will show that by means of these ontologies and by using a query processor (a SPARQL engine) we can automatically connect guidelines to relevant clinicians, and vice versa.

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Section: Profile and Guideline Ontologymentioning

confidence: 99%

Section: Profile and Guideline Ontologymentioning

confidence: 99%

Section: Querying Rdf-data By Sparqlmentioning

confidence: 99%

Section: Profile and Guideline Ontologymentioning

confidence: 99%

See 2 more Smart Citations