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

ABSTRACT:

Background

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.

Results

Polysomnography reports of 243 laboratory-based overnight sleep investigations scored by 9 trained sleep specialists of the Sleep Center St.

SUBMITTER: Baty F 

PROVIDER: S-EPMC8805265 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature