Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Physician and Coding Errors in Patient Records
264
Zitationen
1
Autoren
1985
Jahr
Abstract
The Veterans Administration's discharge abstract system was studied to identify error frequency, source, and effect in five Veterans Administration hospitals. We reviewed 1,829 medical records from 21 services for concordance with the abstract; sampling provided 95% confidence for each service. Of these records, 1,499 (82%) differed from the abstract in at least one item. Of 20,260 items, 4,360 (22%) were incorrect, with three error sources: physician (62%), coding (35%), and keypunch (3%). We projected 2.14 physician and 0.81 coding errors in the average abstract. Eighty-nine percent of projected physician errors were failures to report a procedure or diagnosis. Coding was subjective and errors were synergistic with physician errors. We projected that correction of errors would change 19% of the records for diagnosis-related group purposes and substantially increase future resource allocation. This effect varied considerably by service.
Ähnliche Arbeiten
The meaning and use of the area under a receiver operating characteristic (ROC) curve.
1982 · 21.598 Zit.
Coding Algorithms for Defining Comorbidities in ICD-9-CM and ICD-10 Administrative Data
2005 · 10.518 Zit.
Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases
1992 · 10.498 Zit.
Comorbidity Measures for Use with Administrative Data
1998 · 9.821 Zit.
Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond
2007 · 6.249 Zit.