Strategies for medical data extraction and presentation part 1: current limitations and deficiencies.
Publication/Presentation Date
4-1-2015
Abstract
Data overload is a burgeoning challenge for the medical imaging community; with resulting technical, clinical, and economic ramifications. A primary concern for radiologists is the timely, efficient, and accurate extraction of imaging and clinical data, which collectively are essential in determining accurate diagnosis. In current practice, imaging data retrieval is limited by the fact that imaging and report data are de-coupled from one another, along with the non-standardized and often ambiguous free text data contained within narrative radiology reports. Clinical data retrieval is equally challenging and flawed by the lack of information system integration, paucity of clinical order entry data, and diminished role of the technologist in providing clinical data. These combined factors have the potential to adversely affect radiologist performance and clinical outcomes by diminishing workflow, report accuracy, and diagnostic confidence. New and innovative strategies are required to improve and automate data extraction and presentation, in a context- and user-specific fashion.
Volume
28
Issue
2
First Page
123
Last Page
126
ISSN
1618-727X
Published In/Presented At
Reiner B. (2015). Strategies for medical data extraction and presentation part 1: current limitations and deficiencies. Journal of digital imaging, 28(2), 123–126. https://doi.org/10.1007/s10278-015-9769-5
Disciplines
Diagnosis | Medicine and Health Sciences | Other Analytical, Diagnostic and Therapeutic Techniques and Equipment | Radiology
PubMedID
25666903
Department(s)
Department of Radiology and Diagnostic Medical Imaging
Document Type
Article