Text mining-based measurement of precision of polysomnographic reports as basis for intervention.

Publication

Text mining-based measurement of precision of polysomnographic reports as basis for intervention.

Journal Paper/Review - Jan 31, 2022

Baty Florent, Hegermann Jemima, Locatelli Tiziana, Rüegg Claudio, Gysin Christian, Rassouli Frank, Brutsche Martin

Citation

Baty F, Hegermann J, Locatelli T, Rüegg C, Gysin C, Rassouli F, Brutsche M. Text mining-based measurement of precision of polysomnographic reports as basis for intervention. J Biomed Semantics 2022; 13:5.

Type

Journal Paper/Review (English)

Journal

J Biomed Semantics 2022; 13

Publication Date

Jan 31, 2022

Issn Electronic

2041-1480

Brief description/objective

Text mining can be applied to automate knowledge extraction from unstructured data included in medical reports and generate quality indicators applicable for medical documentation. The primary objective of this study was to apply text mining methodology for the analysis of polysomnographic medical reports in order to quantify sources of variation - here the diagnostic precision vs. the inter-rater variability - in the work-up of sleep-disordered breathing. The secondary objective was to assess the impact of a text block standardization on the diagnostic precision of polysomnography reports in an independent test set.