Journal of Health & Medical Informatics

Michael Hurrell

Publications

• Case Report
  Use of Natural Language Processing to Identify Significant Abnormalities for Follow-up in a Large Accumulation of Non-delivered Radiology Reports
  Author(s): Michael Hurrell, Alan Stein and Sharyn MacDonaldMichael Hurrell, Alan Stein and Sharyn MacDonald
  
  Objective: A radiology information system failure affected too many radiology reports (13,601) for manual review and detection of findings requiring clinical action, and required a semi-automated screening system to find such patients in a timely manner. Materials and methods: A novel SNOMED CT based healthcare platform was used to automatically find reports with actionable findings requiring clinical intervention. Record triage and abstraction was accomplished through a process which included data ingestion, user configuration, filter construction, and radiologist team review workflow. A lead radiologist optimised filters for American College of Radiology Category 3 actionable findings and against various exclusion criteria through a visual query construction interface and observed cohort results through a variety of graphical display rende.. Read More»
  DOI: 10.4172/2157-7420.1000297

  Abstract PDF