The checking of X-ray reports to ensure limb fractures are not missed and that patients receive appropriate follow-up once discharged from the Emergency Department (ED) is an essential but laborious task.
In partnership with the Royal Brisbane and Womenâ€™s and Gold Coast Hospital Emergency Medicine Department, we developed a system to reliably identify limb fractures documented in radiology reports and link the fractures identified in the radiology reports with patientsâ€™ disposition recorded in Emergency Department Information System to provide decision support to the, currently manual, checking process [1-2].
For more information, contact Dr. Anthony Nguyen.
- Zuccon, A. Wagholikar, A. Nguyen, L. Butt, K. Chu, J. Greenslade, S. Martin, “Automatic Classification of Free-Text Radiology Reports to Identify Limb Fractures using Machine Learning Algorithms and SNOMED CT” AMIA CRI, 2013
- Koopman B, Zuccon G, Wagholikar A, Chu K, Oâ€™Dwyer J, Nguyen A, Keijzers G. Automated Reconciliation of Radiology Reports and Discharge Summaries. AMIA 2015 Annual Symposium, 2015.