Automated Identification of Postoperative Complications Within an Electronic Medical Record Using Natural Language Processing
Harvey J. MurffFern FitzHenryMichael E. MathenyNancy GentryKristen KotterKimberly CriminRobert S. DittusAmy K. RosenPeter L. ElkinSteven H. BrownTheodore Speroff
Abstract
Among patients undergoing inpatient surgical procedures at VA medical centers, natural language processing analysis of electronic medical records to identify postoperative complications had higher sensitivity and lower specificity compared with patient safety indicators based on discharge coding.
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