UCL logo

UCL Discovery

UCL home » Library Services » Electronic resources » UCL Discovery

Quality metrics for detailed clinical models.

Ahn, S; Huff, SM; Kim, Y; Kalra, D; (2013) Quality metrics for detailed clinical models. Int J Med Inform , 82 (5) pp. 408-417. 10.1016/j.ijmedinf.2012.09.006.

Full text not available from this repository.

Abstract

OBJECTIVE: To develop quality metrics for detailed clinical models (DCMs) and test their validity. METHODS: Based on existing quality criteria which did not include formal metrics, we developed quality metrics by applying the ISO/IEC 9126 software quality evaluation model. The face and content validity of the initial quality metrics were assessed by 9 international experts. Content validity was defined as agreement by over 70% of the panelists. For eliciting opinions and achieving consensus of the panelists, a two round Delphi survey was conducted. Valid quality metrics were considered reliable if agreement between two evaluators' assessments of two example DCMs was over 0.60 in terms of the kappa coefficient. After reliability and validity were tested, the final DCM quality metrics were selected. RESULTS: According to the results of the reliability test, the degree of agreement was high (a kappa coefficient of 0.73). Based on the results of the reliability test, 8 quality evaluation domains and 29 quality metrics were finalized as DCM quality metrics. CONCLUSION: Quality metrics were validated by a panel of international DCM experts. Therefore, we expect that the metrics, which constitute essential qualitative and quantitative quality requirements for DCMs, can be used to support rational decision-making by DCM developers and clinical users.

Type: Article
Title: Quality metrics for detailed clinical models.
Location: Ireland
DOI: 10.1016/j.ijmedinf.2012.09.006
Keywords: Delivery of Health Care, Electronic Health Records, Health Services, Humans, Medical Records Systems, Computerized, Models, Theoretical, Quality Indicators, Health Care
UCL classification: UCL > School of Life and Medical Sciences
UCL > School of Life and Medical Sciences > Faculty of Population Health Sciences
UCL > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health Care > CHIME
URI: http://discovery.ucl.ac.uk/id/eprint/1377490
Downloads since deposit
0Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item