| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 8725291 | Clinical Gastroenterology and Hepatology | 2018 | 29 Pages |
Abstract
Using data from the Veterans Affairs electronic health record database, we developed an algorithm that greatly reduces the number of record reviews necessary to identify delays in follow-up evaluations for patients with suspected CRC or HCC. This approach offers a more efficient method to identify delayed diagnostic evaluation of gastroenterological cancers.
Keywords
FOBTPPVIDAHCCα-fetoproteinfecal immunochemical testfecal occult blood testpositive predictive valuenegative predictive valueDiagnostic delayAFPElectronic Health RecordICDhepatocellular cancerColorectal cancerInternational Classification of Diseasesconfidence intervalHealth Information TechnologyNPV یا negative predictive valueFITIron deficiency anemiaDepartment of Veterans AffairsElectronic health recordsEHRMedical informaticsCRCPrimary care
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Authors
Daniel R. Murphy, Ashley N.D. Meyer, Viralkumar Vaghani, Elise Russo, Dean F. Sittig, Li Wei, Louis Wu, Hardeep Singh,