Informatics in radiology automated structured reporting of imaging findings using the AIM standard and XML

Stefan Zimmerman, Woojin Kim, William W. Boonn

Research output: Contribution to journalArticle

Abstract

Quantitative and descriptive imaging data are a vital component of the radiology report and are frequently of paramount importance to the ordering physician. Unfortunately, current methods of recording these data in the report are both inefficient and error prone. In addition, the free-text, unstructured format of a radiology report makes aggregate analysis of data from multiple reports difficult or even impossible without manual intervention. A structured reporting work flow has been developed that allows quantitative data created at an advanced imaging workstation to be seamlessly integrated into the radiology report with minimal radiologist intervention. As an intermediary step between the workstation and the reporting software, quantitative and descriptive data are converted into an extensible markup language (XML) file in a standardized format specified by the Annotation and Image Markup (AIM) project of the National Institutes of Health Cancer Biomedical Informatics Grid. The AIM standard was created to allow image annotation data to be stored in a uniform machine-readable format. These XML files containing imaging data can also be stored on a local database for data mining and analysis. This structured work flow solution has the potential to improve radiologist efficiency, reduce errors, and facilitate storage of quantitative and descriptive imaging data for research.

Original languageEnglish (US)
Pages (from-to)881-887
Number of pages7
JournalRadiographics : a review publication of the Radiological Society of North America, Inc
Volume31
Issue number3
DOIs
StatePublished - May 2011

Fingerprint

Informatics
Radiology
Workflow
Data Mining
National Institutes of Health (U.S.)
Language
Software
Databases
Physicians
Research
Neoplasms
Radiologists

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

@article{35bec51977fc4df9a4960cb921136dfd,
title = "Informatics in radiology automated structured reporting of imaging findings using the AIM standard and XML",
abstract = "Quantitative and descriptive imaging data are a vital component of the radiology report and are frequently of paramount importance to the ordering physician. Unfortunately, current methods of recording these data in the report are both inefficient and error prone. In addition, the free-text, unstructured format of a radiology report makes aggregate analysis of data from multiple reports difficult or even impossible without manual intervention. A structured reporting work flow has been developed that allows quantitative data created at an advanced imaging workstation to be seamlessly integrated into the radiology report with minimal radiologist intervention. As an intermediary step between the workstation and the reporting software, quantitative and descriptive data are converted into an extensible markup language (XML) file in a standardized format specified by the Annotation and Image Markup (AIM) project of the National Institutes of Health Cancer Biomedical Informatics Grid. The AIM standard was created to allow image annotation data to be stored in a uniform machine-readable format. These XML files containing imaging data can also be stored on a local database for data mining and analysis. This structured work flow solution has the potential to improve radiologist efficiency, reduce errors, and facilitate storage of quantitative and descriptive imaging data for research.",
author = "Stefan Zimmerman and Woojin Kim and Boonn, {William W.}",
year = "2011",
month = "5",
doi = "10.1148/rg.313105195",
language = "English (US)",
volume = "31",
pages = "881--887",
journal = "Radiographics",
issn = "0271-5333",
publisher = "Radiological Society of North America Inc.",
number = "3",

}

TY - JOUR

T1 - Informatics in radiology automated structured reporting of imaging findings using the AIM standard and XML

AU - Zimmerman, Stefan

AU - Kim, Woojin

AU - Boonn, William W.

PY - 2011/5

Y1 - 2011/5

N2 - Quantitative and descriptive imaging data are a vital component of the radiology report and are frequently of paramount importance to the ordering physician. Unfortunately, current methods of recording these data in the report are both inefficient and error prone. In addition, the free-text, unstructured format of a radiology report makes aggregate analysis of data from multiple reports difficult or even impossible without manual intervention. A structured reporting work flow has been developed that allows quantitative data created at an advanced imaging workstation to be seamlessly integrated into the radiology report with minimal radiologist intervention. As an intermediary step between the workstation and the reporting software, quantitative and descriptive data are converted into an extensible markup language (XML) file in a standardized format specified by the Annotation and Image Markup (AIM) project of the National Institutes of Health Cancer Biomedical Informatics Grid. The AIM standard was created to allow image annotation data to be stored in a uniform machine-readable format. These XML files containing imaging data can also be stored on a local database for data mining and analysis. This structured work flow solution has the potential to improve radiologist efficiency, reduce errors, and facilitate storage of quantitative and descriptive imaging data for research.

AB - Quantitative and descriptive imaging data are a vital component of the radiology report and are frequently of paramount importance to the ordering physician. Unfortunately, current methods of recording these data in the report are both inefficient and error prone. In addition, the free-text, unstructured format of a radiology report makes aggregate analysis of data from multiple reports difficult or even impossible without manual intervention. A structured reporting work flow has been developed that allows quantitative data created at an advanced imaging workstation to be seamlessly integrated into the radiology report with minimal radiologist intervention. As an intermediary step between the workstation and the reporting software, quantitative and descriptive data are converted into an extensible markup language (XML) file in a standardized format specified by the Annotation and Image Markup (AIM) project of the National Institutes of Health Cancer Biomedical Informatics Grid. The AIM standard was created to allow image annotation data to be stored in a uniform machine-readable format. These XML files containing imaging data can also be stored on a local database for data mining and analysis. This structured work flow solution has the potential to improve radiologist efficiency, reduce errors, and facilitate storage of quantitative and descriptive imaging data for research.

UR - http://www.scopus.com/inward/record.url?scp=79958025221&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79958025221&partnerID=8YFLogxK

U2 - 10.1148/rg.313105195

DO - 10.1148/rg.313105195

M3 - Article

C2 - 21357413

AN - SCOPUS:79958025221

VL - 31

SP - 881

EP - 887

JO - Radiographics

JF - Radiographics

SN - 0271-5333

IS - 3

ER -