title: Modelling system level health information exchange: an ontological approach.
abstract: Investment of resources to purposively improve the movement of information between health system providers is currently made with imperfect information. No inventories of system-level digital information flows currently exist, nor do measures of inter-organizational electronic information. exchange (HIE). Using Protégé 4, an open-source OWL Web ontology language editor and knowledge-based framework we formalized a model that decomposes inter-organizational electronic health information flow into derivative concepts such as diversity, breadth, volume, structure, standardization and connectivity. Self-reported data from a regional health system is used to measure HIE; the ontology identifies providers with low and high HIE, useful for planners, and using a related database is used to monitor data quality.
authors: School of Public Health and Health Systems, University of Waterloo, Canada.
authors: J
authors: J
authors: McMurray
authors: School of Public Health and Health Systems, University of Waterloo, Canada.
authors: L
authors: L
authors: Zhu
authors: School of Public Health and Health Systems, University of Waterloo, Canada.
authors: I
authors: I
authors: McKillop
authors: School of Public Health and Health Systems, University of Waterloo, Canada.
authors: H
authors: H
authors: Chen
mesh_terms: D016208:Databases, Factual; D057286:Electronic Health Records; D066275:Health Information Exchange; D063005:Health Information Systems; D020407:Internet; D007407:Interviews as Topic; D008962:Models, Theoretical; D009864:Ontario; D058996:Quality Improvement; D012984:Software; D011795:Surveys and Questionnaires