Abstract
Diagnostic radiology is one of the key areas of clinical diagnosis on which much of the health care system is built. Along with pathology, radiology has a unique role in providing diagnostic information for prognosis, treatment, and management of clinical conditions. This role is clinically challenging due to the problems of knowledge management associated with the free-text radiology reports which are currently the standard of practice for radiology care. In order to address this critical knowledge management problem, we have proposed a solution using the Radiology Diagnostics Exchange Agent, which is under development and will enhance clinical care management. Using a human computation approach, we have started to identify and validate clinically actionable terms on which an information management infrastructure can be developed with important implications for clinical care and research.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 244-8 |
| Number of pages | 5 |
| Journal | AMIA Joint Summits on Translational Science proceedings AMIA Summit on Translational Science |
| Volume | 2013 |
| State | Published - 2013 |
PubMed: MeSH publication types
- Journal Article
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