000000487 001__ 487
000000487 005__ 20250424232527.0
000000487 0247_ $$2DOI$$a10.6083/M4XS5SCG
000000487 037__ $$aETD
000000487 245__ $$aA systematic review of automated medical coding and classification systems
000000487 260__ $$bOregon Health and Science University
000000487 269__ $$a2009
000000487 336__ $$aCapstone
000000487 502__ $$bM.B.I.
000000487 502__ $$aBiomedical Informatics
000000487 520__ $$aCorrect coding and reporting of healthcare diagnoses and services have become more critical in recent years as healthcare data needs have evolved. Computer applications for automating this process are available yet, to date such automated solutions are not widely used. The objective of this systematic review is to assess whether automated coding and classification systems, currently available for administrative coding purposes, perform as well as human coders.
000000487 540__ $$fCC BY
000000487 542__ $$fIn copyright - single owner
000000487 650__ $$aMedical Records Systems, Computerized$$029086
000000487 650__ $$aElectronic Data Processing$$015239
000000487 650__ $$aClinical Coding$$039476
000000487 6531_ $$asystematic review
000000487 691__ $$aSchool of Medicine$$041369
000000487 692__ $$aDepartment of Medical Informatics and Clinical Epidemiology$$041422
000000487 7001_ $$aStanfill, Mary$$uOregon Health and Science University$$041354
000000487 7201_ $$aHersh, William$$uOregon Health and Science University$$041354$$7Personal$$eAdvisor
000000487 8564_ $$92e8a596f-7c0d-4b55-b387-556f818e73c4$$s706871$$uhttps://digitalcollections.ohsu.edu/record/487/files/488_etd.pdf$$ePublic$$2638683f00871d16f467101fa6ca66d65$$31
000000487 905__ $$a/rest/prod/4q/77/fr/36/4q77fr36f
000000487 909CO $$ooai:digitalcollections.ohsu.edu:487$$pstudent-work
000000487 980__ $$aBiomedical Informatics