Literature DB >> 26262039

On Building an Ontological Knowledge Base for Managing Patient Safety Events.

Chen Liang1, Yang Gong1.   

Abstract

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.

Entities:  

Mesh:

Year:  2015        PMID: 26262039

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  2 in total

1.  Toward Reporting Support and Quality Assessment for Learning from Reporting: A Necessary Data Elements Model for Narrative Medication Error Reports.

Authors:  Bin Yao; Hong Kang; Ju Wang; Sicheng Zhou; Yang Gong
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

Review 2.  Methods for Addressing Technology-induced Errors: The Current State.

Authors:  E Borycki; J W Dexheimer; C Hullin Lucay Cossio; Y Gong; S Jensen; J Kaipio; S Kennebeck; E Kirkendall; A W Kushniruk; C Kuziemsky; R Marcilly; R Röhrig; K Saranto; Y Senathirajah; J Weber; H Takeda
Journal:  Yearb Med Inform       Date:  2016-11-10
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.