Multimedia-enhanced Radiology Reports: Concept, Components, and Challenges
| Autor: | Andrew J. Dwyer, Les R. Folio, Laura B. Machado |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
medicine.medical_specialty
Informatics Medical Records Systems Computerized Emerging technologies ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION MEDLINE Communications system computer.software_genre 030218 nuclear medicine & medical imaging law.invention Machine Learning 03 medical and health sciences 0302 clinical medicine Artificial Intelligence law Component (UML) Humans Medicine Radiology Nuclear Medicine and imaging Multimedia business.industry Hyperlink Radiology Information Systems 030220 oncology & carcinogenesis Radiology Hypertext Radiology information systems business computer |
| Zdroj: | RadioGraphics. 38:462-482 |
| ISSN: | 1527-1323 0271-5333 |
| DOI: | 10.1148/rg.2017170047 |
| Popis: | Multimedia-enhanced radiology report (MERR) development is defined and described from an informatics perspective, in which the MERR is seen as a superior information-communicating entity. Recent technical advances, such as the hyperlinking of report text directly to annotated images, improve MERR information content and accessibility compared with text-only reports. The MERR is analyzed by its components, which include hypertext, tables, graphs, embedded images, and their interconnections. The authors highlight the advantages of each component for improving the radiologist’s communication of report content information and the user’s ability to extract information. Requirements for MERR implementation (eg, integration of picture archiving and communication systems, radiology information systems, and electronic medical record systems) and the authors’ initial experiences and challenges in MERR implementation at the National Institutes of Health are reviewed. The transition to MERRs has provided advantages over use of traditional text-only radiology reports because of the capacity to include hyperlinked report text that directs clinicians to image annotations, images, tables, and graphs. A framework is provided for thinking about the MERR from the user’s perspective. Additional applications of emerging technologies (eg, artificial intelligence and machine learning) are described in the crafting of what the authors believe is the radiology report of the future. (©)RSNA, 2018 |
| Databáze: | OpenAIRE |
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