Browsing by Subject "ontology"
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Item A Data Quality Framework for the Secondary Use of Electronic Health Information(2016-04) Johnson, StevenElectronic health record (EHR) systems are designed to replace paper charts and facilitate the delivery of care. Since EHR data is now readily available in electronic form, it is increasingly used for other purposes. This is expected to improve health outcomes for patients; however, the benefits will only be realized if the data that is captured in the EHR is of sufficient quality to support these secondary uses. This research demonstrated that a healthcare data quality framework can be developed that produces metrics that characterize underlying EHR data quality and it can be used to quantify the impact of data quality issues on the correctness of the intended use of the data. The framework described in this research defined a Data Quality (DQ) Ontology and implemented an assessment method. The DQ Ontology was developed by mining the healthcare data quality literature for important terms used to discuss data quality concepts and these terms were harmonized into an ontology. Four high-level data quality dimensions (CorrectnessMeasure, ConsistencyMeasure, CompletenessMeasure and CurrencyMeasure) categorized 19 lower level Measures. The ontology serves as an unambiguous vocabulary and allows more precision when discussing healthcare data quality. The DQ Ontology is expressed with sufficient rigor that it can be used for logical inference and computation. The data quality framework was used to characterize data quality of an EHR for 10 data quality Measures. The results demonstrate that data quality can be quantified and Metrics can track data quality trends over time and for specific domain concepts. The DQ framework produces scalar quantities which can be computed on individual domain concepts and can be meaningfully aggregated at different levels of an information model. The data quality assessment process was also used to quantify the impact of data quality issues on a task. The EHR data was systematically degraded and a measure of the impact on the correctness of CMS178 eMeasure (Urinary Catheter Removal after Surgery) was computed. This information can help healthcare organizations prioritize data quality improvement efforts to focus on the areas that are most important and determine if the data can support its intended use.Item Demarcation and Definition: The Metaphysics of Projects and Their Management Considered(2020-05) Tebbitt, BrianThe philosophy of project management is largely uncharted territory. Although the possibility of it being a distinct area of inquiry has been suggested before now, it has not yet formally taken shape as such. Several years ago, discussions were had among academicians and professionals within project management circles regarding the relevance and applicability of philosophy to their craft, but philosophers themselves have yet to weigh in on any of it. Taking the proposal of J. Davidson Frame in his paper “Philosophy of Project Management: Lessons From the Philosophy of Science” as a starting point, I have proceeded into the current void to consider questions of project ontology and demarcation, present a novel theory of projects (Propositional Theory), and analyze common reasons for project failure. Beyond my own theorizing, my aim is to clear ground, as it were, to accommodate and encourage further debate in the interest of developing the philosophy of project management into a new area of applied philosophy.Item Integrated Dietary Supplement Knowledge Base (iDISK)(2019-07-25) Rizvi, Rubina F; Vasilakes, Jake A; Adam, Terrence J; Melton, Genevieve B; Bishop, Jeffrey R; Bian, Jiang; Tao, Cui; Zhang, Rui; zhan1386@umn.edu; Zhang, Rui; University of Minnesota Institute for Health Informatics, Natural Language Processing / Information Extraction (NLP/IE) ProgramThe integrated Dietary Supplements Knowledge Base (iDISK) covers a variety of dietary supplements, including vitamins, herbs, minerals, etc. It was standardized and integrated from the Dietary Supplements Label Database (DSLD), the "About Herbs" database from Memorial Sloan Kettering Cancer Center (MSKCC), the Canadian Natural Health Products and Ingredients database (NHP), and the Natural Medicines Comprehensive Database (NMCD) developed by the Therapeutic Research Center (TRC). iDISK contains a variety of attributes and relationships describing information about each dietary supplement such as which products it is an ingredient of and what drugs it might interact with.