Clinical Decision Support System to Enhance Quality Control of Spirometry Using Information and Communication Technologies
dc.contributor.author
dc.date.accessioned
2020-02-18T08:18:54Z
dc.date.available
2020-02-18T08:18:54Z
dc.date.issued
2014-10-21
dc.identifier.issn
2291-9694
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dc.description.abstract
We recently demonstrated that quality of spirometry in primary care could markedly improve with remote offline support from specialized professionals. It is hypothesized that implementation of automatic online assessment of quality of spirometry using information and communication technologies may significantly enhance the potential for extensive deployment of a high quality spirometry program in integrated care settings.
Objective: The objective of the study was to elaborate and validate a Clinical Decision Support System (CDSS) for automatic online quality assessment of spirometry.
Methods: The CDSS was done through a three step process including: (1) identification of optimal sampling frequency; (2) iterations to build-up an initial version using the 24 standard spirometry curves recommended by the American Thoracic Society; and (3) iterations to refine the CDSS using 270 curves from 90 patients. In each of these steps the results were checked against one expert. Finally, 778 spirometry curves from 291 patients were analyzed for validation purposes.
Results: The CDSS generated appropriate online classification and certification in 685/778 (88.1%) of spirometry testing, with 96% sensitivity and 95% specificity.
Conclusions: Consequently, only 93/778 (11.9%) of spirometry testing required offline remote classification by an expert, indicating a potential positive role of the CDSS in the deployment of a high quality spirometry program in an integrated care setting
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application/pdf
dc.language.iso
eng
dc.publisher
JMIR Publications
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Reproducció digital del document publicat a: https://doi.org/10.2196/medinform.3179
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JMIR Medical Informatics, 2014, vol. 2, núm. 2, p. e29
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Articles publicats (D-ATC)
dc.rights
Attribution 4.0 International
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dc.subject
dc.title
Clinical Decision Support System to Enhance Quality Control of Spirometry Using Information and Communication Technologies
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.type.version
info:eu-repo/semantics/publishedVersion
dc.identifier.doi
dc.type.peerreviewed
peer-reviewed