The Challenge

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.

Our Solution

In partnership with the Royal Brisbane and Women’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 patients’ 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.

Text of radiology reports results screen capture

  1. 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
  2. Koopman B, Zuccon G, Wagholikar A, Chu K, O’Dwyer J, Nguyen A, Keijzers G. Automated Reconciliation of Radiology Reports and Discharge Summaries. AMIA 2015 Annual Symposium, 2015.