Statistical semantic and clinician confidence analysis for correcting abbreviations and spelling errors in clinical progress notes

摘要

MotivationProgress notes are narrative summaries about the status of patients during the course of treatment or care. Time and efficiency pressures have ensured clinicians’ continued preference for unstructured text over entering data in forms when composing progress notes. The ability to extract meaningful data from the unstructured text contained within the notes is invaluable for retrospective analysis and decision support. The automatic extraction of data from unstructured notes, however, has been largely prevented due to the complexity of handling abbreviations, misspelling, punctuation errors and other types of noise.