Literature DB >> 22137004

Medical imaging data reconciliation, part 4: Reconciliation of radiology reports and clinical outcomes data.

Bruce I Reiner1.   

Abstract

An accurate clinical assessment of how radiology report data affect health care outcomes cannot be performed without the standardization, integration, and longitudinal analysis of radiology report and clinical outcomes data. The creation of such a technology can be accomplished by creating a standardized finding-specific radiology and clinical database, in which individual report findings are assigned extensible markup language tags and tracked over time with associated clinical data. The derived knowledge can in turn be used to improve overall outcomes through the data-derived analysis of reporting accuracy, imaging utilization, the timeliness of clinical care, and compliance with best practice guidelines.
Copyright © 2011 American College of Radiology. Published by Elsevier Inc. All rights reserved.

Mesh:

Year:  2011        PMID: 22137004     DOI: 10.1016/j.jacr.2011.06.015

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN: 1546-1440            Impact factor:   5.532


  5 in total

1.  Application of innovation economics to medical imaging and information systems technologies.

Authors:  Bruce I Reiner; Matthew McKinley
Journal:  J Digit Imaging       Date:  2012-06       Impact factor: 4.056

2.  A novel reporting system to improve accuracy in appendicitis imaging.

Authors:  Benjamin D Godwin; Frederick T Drake; Vlad V Simianu; Jabi E Shriki; Daniel S Hippe; Manjiri Dighe; Sarah Bastawrous; Carlos Cuevas; David Flum; Puneet Bhargava
Journal:  AJR Am J Roentgenol       Date:  2015-06       Impact factor: 3.959

3.  Is there a need to standardize reporting terminology in appendicitis?

Authors:  Benjamin David Godwin; Vlad Valentin Simianu; Frederick Thurston Drake; Manjiri Dighe; David Flum; Puneet Bhargava
Journal:  Ultrasound Q       Date:  2015-06       Impact factor: 1.657

4.  Using analysis of speech and linguistics to characterize uncertainty in radiology reporting.

Authors:  Bruce I Reiner
Journal:  J Digit Imaging       Date:  2012-12       Impact factor: 4.056

5.  Developing a comprehensive database management system for organization and evaluation of mammography datasets.

Authors:  Yirong Wu; Daniel L Rubin; Ryan W Woods; Mai Elezaby; Elizabeth S Burnside
Journal:  Cancer Inform       Date:  2014-10-16
  5 in total

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