On Building an Ontological Knowledge Base for Managing Patient Safety Events.
Over the past decade, improving healthcare quality and safety through patient safety event reporting systems has drawn much attention. Unfortunately, such systems are suffering from low data quality, inefficient data entry and ineffective information retrieval. For improving the systems, we develop a semantic web ontology based on the WHO International Classification for Patient Safety (ICPS) and AHRQ Common Formats for patient safety event reporting. The ontology holds potential in enhancing knowledge management and information retrieval, as well as providing flexible data entry and case analysis for both reporters and reviewers of patient safety events. In this paper, we detailed our efforts in data acquisition, transformation, implementation and initial evaluation of the ontology.
School of Biomedical Informatics, University of Texas Health Science Center at Houston, TX, USA.
Chen
C
Liang
School of Biomedical Informatics, University of Texas Health Science Center at Houston, TX, USA.
Yang
Y
Gong
D064229:Biological Ontologies; D057286:Electronic Health Records / Q000458:organization & administration*; D038622:Internationality; D051188:Knowledge Bases; D019300:Medical Errors / Q000145:classification*; D061214:Patient Safety; D012308:Risk Management / Q000458:organization & administration*; D009626:Terminology as Topic; D013781:Texas