Researchers compared two approaches for identifying postoperative complications in medical records: natural language processing and patient safety indicators that use discharge coding. The postoperative complications included acute renal failure requiring dialysis, deep vein thrombosis, pulmonary embolism, sepsis, pneumonia and myocardial infarction.
The language processing had a higher percentage of correct identification for all postoperative complications that occurred. For example, natural language processing correctly identified 82 percent of acute renal failure cases, compared with 38 percent for patient safety indicators.
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