Practice Question of the Week: Knowledge Transformation

• Transformation of knowledge into CDS Tools
  Knowledge GenerationKnowledge AcquisitionKnowledge ModelingKnowledge RepresentationKnowledge Management & Maintenance
• Knowledge Generation
• Knowledge Acquisition
• Knowledge Modeling
• Knowledge Representation
• Knowledge Management & Maintenance

Question

Explanation and Answer

B. - DeGel

The Elements of Knowledge Transformation

• Knowledge GenerationSources of knowledge such as literature, data-mining, statistical analysis, and expert knowledge
• Sources of knowledge such as literature, data-mining, statistical analysis, and expert knowledge
• Knowledge AcquisitionHow knowledge is sourced - typically for CDSS. Sources usually use a high degree of synthesis to aid in decision making. Examples of knowledge acquisition sources include structured care protocols, clinical practice guidelines, and locally developed knowledge.
• How knowledge is sourced - typically for CDSS. Sources usually use a high degree of synthesis to aid in decision making. Examples of knowledge acquisition sources include structured care protocols, clinical practice guidelines, and locally developed knowledge.
• Knowledge ModelingHow we can transform knowledge into a computer readable format. Some models for this include DeGel and the Guideline Elements Model (GEM). GEM takes documents and converts them into XML to form representations of knowledge.
• How we can transform knowledge into a computer readable format. Some models for this include DeGel and the Guideline Elements Model (GEM). GEM takes documents and converts them into XML to form representations of knowledge.
• Knowledge RepresentationKnowledge representation organizes knowledge to be shared and used by clinical decision support systems (CDSS). Examples of knowledge representation models include arden syntax, Asbru, GLIF, GEOCDE-CM, Pro-Forma, as well as some others such as EON, SAGE, and MBTA.
• Knowledge representation organizes knowledge to be shared and used by clinical decision support systems (CDSS). Examples of knowledge representation models include arden syntax, Asbru, GLIF, GEOCDE-CM, Pro-Forma, as well as some others such as EON, SAGE, and MBTA.
• Knowledge Management and MaintenanceClinical Decision Support Systems should reflect changes in Evidence Based Medicine. This requires management and maintenance of systems. For more information, see the piece "identifying best practices for clinical decision support and knowledge Management in the field" – referenced in the recommended reading section below.
• Clinical Decision Support Systems should reflect changes in Evidence Based Medicine. This requires management and maintenance of systems. For more information, see the piece "identifying best practices for clinical decision support and knowledge Management in the field" – referenced in the recommended reading section below.

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Resources & Recommended Reading

Identifying best practices for clinical decision support and knowledge management in the field

http://www.ncbi.nlm.nih.gov/pubmed/20841797

The guideline interchange format: a model for representing guidelines

http://www.ncbi.nlm.nih.gov/pubmed/9670133

GEODE-CM: A State-Transition Framework for Clinical Management. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2232941/

DEGEL: A Hybrid, Multiple-Ontology Framework for Specification and Retrieval of Clinical Guidelines.http://link.springer.com/chapter/10.1007%2F978-3-540-39907-0_18