Natural language processing identified postoperative complications with higher sensitivity but lower specificity compared to patient safety indicators based on discharge coding.
Does natural language processing analysis of electronic medical records improve the identification of postoperative complications compared with discharge coding in patients undergoing inpatient surgical procedures?
Patients undergoing inpatient surgical procedures at VA medical centers
Natural language processing analysis of electronic medical records
Patient safety indicators based on discharge coding
Identification of postoperative complications (sensitivity and specificity)
Natural language processing of electronic medical records offers higher sensitivity but lower specificity than traditional discharge coding for identifying postoperative complications.
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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Harvey J. Murff
Fern FitzHenry
Michael E. Matheny
JAMA
VA Tennessee Valley Healthcare System
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Murff et al. (Tue,) reported a other. Natural language processing identified postoperative complications with higher sensitivity but lower specificity compared to patient safety indicators based on discharge coding.
www.synapsesocial.com/papers/69694638d39062dc65a94c6d — DOI: https://doi.org/10.1001/jama.2011.1204