title: From Computer-interpretable Guidelines to Computer-interpretable Quality Indicators: A Case for an Ontology.
abstract: In the United Kingdom's National Health Service, quality indicators are generally measured electronically by using queries and data extraction, resulting in overlap and duplication of query components. Electronic measurement of health care quality indicators could be improved through an ontology intended to reduce duplication of effort during healthcare quality monitoring. While much research has been published on ontologies for computer-interpretable guidelines, quality indicators have lagged behind. We aimed to determine progress on the use of ontologies to facilitate computer-interpretable healthcare quality indicators. We assessed potential for improvements to computer-interpretable healthcare quality indicators in England. We concluded that an ontology for a large, diverse set of healthcare quality indicators could benefit the NHS and reduce workload, with potential lessons for other countries.
authors.affiliation: School of Informatics, City University London.
authors.forename: Pam
authors.initials: P
authors.lastname: White
authors.affiliation: Department of Health Information Science, University of Victoria, British Columbia.
authors.forename: Abdul
authors.initials: A
authors.lastname: Roudsari
mesh_terms: D001955:British Columbia; D000068598:Data Accuracy; D057286:Electronic Health Records / Q000592:standards*; D008498:Medical Record Linkage / Q000592:standards*; D009323:Natural Language Processing; D017410:Practice Guidelines as Topic; D019984:Quality Indicators, Health Care / Q000592:standards*; D018875:Vocabulary, Controlled