Open Access

Knowledge Representation in Patient Safety Reporting: An Ontological Approach

 and    | Sep 01, 2017

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Figure 1

Protégé screenshots of partial ontology hierarchies. (a) Overall ontology structure. (b) Ontology structure of the classes associated with ‘fall’ incidents. (c) Ontology structure of the classes associated with ‘equipment and device’ incidents.
Protégé screenshots of partial ontology hierarchies. (a) Overall ontology structure. (b) Ontology structure of the classes associated with ‘fall’ incidents. (c) Ontology structure of the classes associated with ‘equipment and device’ incidents.

Figure 2

An example of inferred terms. (a) Two rules that infer a ‘patient fall’ incident. (b) Three inferences suggested by HermiT 1.3.8 in Protégé. ‘Patientfall’ is inferred as an instance of ‘Fall’. (c) A diagram of designed logical path applied in the example.
An example of inferred terms. (a) Two rules that infer a ‘patient fall’ incident. (b) Three inferences suggested by HermiT 1.3.8 in Protégé. ‘Patientfall’ is inferred as an instance of ‘Fall’. (c) A diagram of designed logical path applied in the example.

Calculation of inter-rater reliability for the evaluation instrument.

Item 1Item 2Item 3Item 4Item 5Item 6Item 7Item 8
Rater 1(WJ)44445445
Rater 2 (YG)55555555
Number in agreement22222222
Total agreement in percentile100%

Workflow chart of ontology construction.

ProjectTaskMaterialsMethod/toolOutcome
ConceptontologyKnowledge acquisition Ontology implementationICPS and the Common Formats Semantic knowledge organized in hierarchiesExpert analysis Expert review Ontology engineeringSemantic knowledge organized in hierarchies A concept ontology with a hierarchical structure of patient safety knowledge
EvaluationHuman evaluationHierarchical classes from the concept ontology Real-world reports from Web M&MSurvey instrument StatisticsQuality indicators of the classification by domain experts
Computational evaluationConcept ontology in OWLStatistical analysis Consistency checkingQuantitative indicators of the ontology
Detailed ontologyAnnotationConcept ontology Dataset from a university hospitalExpert annotationA detailed ontology with enriched terms, relations, and other ontological specifications

A sample set of questions demonstrates the design of the survey instrument and the pre-assessment for validating the survey instrument.

DimensionsQuestions in the survey instrumentQuestions in the pre-assessment
CorrectnessFor the case you reviewed, the terms used in the taxonomy are well-formed and the words are well-arranged.Does the scale purport to measure “The correctness of syntax”?
MeaningfulnessFor the case you reviewed, the terms used in the taxonomy can represent the concepts in the real-world setting.Does the scale purport to measure “The meaningfulness of terms”?
ClarityFor the case you reviewed, the terms that appear in the taxonomy are clear (no ambiguity).Does the scale purport to measure “The clarity of terms”?
ComprehensivenessFor the case you reviewed, the taxonomy provides sufficient knowledge in the domain.Does the scale purport to measure “The comprehensiveness of the taxonomy in a certain domain”?
AccuracyThe information the taxonomy provides is accurate.Does the scale purport to measure “The accuracy of information”?
SpecificityThe taxonomy satisfies your needs when you use it to categorize the case you are reviewing.Does the scale purport to measure “Whether the taxonomy specifies agent’s specific requirements”?
SatisfactionPlease rate the overall satisfaction based on your experience of using the taxonomy.Does the scale purport to measure “The overall satisfaction to the taxonomy”?
Educational valuePlease rate the education value of the case you reviewed.Does the scale purport to measure “The educational value of the case”?

Statistics of ontology specific terms and imported terms.

Ontology namesClassesObject propertiesTotal
Patient Safety Ontology47350
International Classification for Patient Safety (ICPS)22022
Adverse Event Ontology (AEO)224
Total71576

Two raters rating on a 4-point scale for content validity.

Item 1Item 2Item 3Item 4Item 5Item 6Item 7Item 8Proportion
Rater 1 (WJ)XXXXXXXX1.00
Rater 2 (YG)XXXXXXXX1.00
Number in agreement22222222Mean I-CVI = 1.00 Mean rater proportion
Item CVI1.001.001.001.001.001.001.001.00= 1.00
eISSN:
2543-683X
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Computer Sciences, Information Technology, Project Management, Databases and Data Mining