Premium
Structured Reporting in Neuroradiology
Author(s) -
MORIOKA CRAIG A.,
SINHA USHA,
TAIRA RICKY,
ELSADEN SUZIE,
DUCKWILER GARY,
KANGARLOO HOOSHANG
Publication year - 2002
Publication title -
annals of the new york academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.712
H-Index - 248
eISSN - 1749-6632
pISSN - 0077-8923
DOI - 10.1111/j.1749-6632.2002.tb04902.x
Subject(s) - dicom , computer science , structuring , neuroradiology , information retrieval , tree (set theory) , medical physics , medicine , artificial intelligence , neurology , mathematics , mathematical analysis , finance , psychiatry , economics
A bstract : We have developed a system to structure free‐text neuroradiology reports using a natural language processing program and formatted the output into the digital image and communication in medicine (DICOM) standard for structured reporting (SR). DICOM SR formats the correspondence of pertinent diagnostic images to the radiologist's dictated report of clinical findings. In addition, DICOM SR allows the information to be organized into a tree structure. Individual nodes of the tree can contain individual items or lists. Structuring the content of free‐text information allows the creation of hierarchies with defined relationships between the concepts contained within the report.