{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T07:40:27Z","timestamp":1776411627229,"version":"3.51.2"},"reference-count":22,"publisher":"Oxford University Press (OUP)","issue":"11","funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000092","name":"National Library of Medicine","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000092","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,10,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Objective<\/jats:title>\n                  <jats:p>The study sought to assess the feasibility of replacing the International Classification of Diseases\u2013Tenth Revision\u2013Clinical Modification (ICD-10-CM) with the International Classification of Diseases\u201311th Revision (ICD-11) for morbidity coding based on content analysis.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Materials and Methods<\/jats:title>\n                  <jats:p>The most frequently used ICD-10-CM codes from each chapter covering 60% of patients were identified from Medicare claims and hospital data. Each ICD-10-CM code was recoded in the ICD-11, using postcoordination (combination of codes) if necessary. Recoding was performed by 2 terminologists independently. Failure analysis was done for cases where full representation was not achieved even with postcoordination. After recoding, the coding guidance (inclusions, exclusions, and index) of the ICD-10-CM and ICD-11 codes were reviewed for conflict.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>Overall, 23.5% of 943 codes could be fully represented by the ICD-11 without postcoordination. Postcoordination is the potential game changer. It supports the full representation of 8.6% of 943 codes. Moreover, with the addition of only 9 extension codes, postcoordination supports the full representation of 35.2% of 943 codes. Coding guidance review identified potential conflicts in 10% of codes, but mostly not affecting recoding. The majority of the conflicts resulted from differences in granularity and default coding assumptions between the ICD-11 and ICD-10-CM.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>With some minor enhancements to postcoordination, the ICD-11 can fully represent almost 60% of the most frequently used ICD-10-CM codes. Even without postcoordination, 23.5% full representation is comparable to the 24.3% of ICD-9-CM codes with exact match in the ICD-10-CM, so migrating from the ICD-10-CM to the ICD-11 is not necessarily more disruptive than from the International Classification of Diseases\u2013Ninth Revision\u2013Clinical Modification to the ICD-10-CM. Therefore, the ICD-11 (without a CM) should be considered as a candidate to replace the ICD-10-CM for morbidity coding.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/jamia\/ocab156","type":"journal-article","created":{"date-parts":[[2021,7,9]],"date-time":"2021-07-09T11:13:09Z","timestamp":1625829189000},"page":"2404-2411","source":"Crossref","is-referenced-by-count":17,"title":["Feasibility of replacing the ICD-10-CM with the ICD-11 for morbidity coding: A content analysis"],"prefix":"10.1093","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0593-5377","authenticated-orcid":false,"given":"Kin Wah","family":"Fung","sequence":"first","affiliation":[{"name":"National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Julia","family":"Xu","sequence":"additional","affiliation":[{"name":"National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shannon","family":"McConnell-Lamptey","sequence":"additional","affiliation":[{"name":"National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, Maryland, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Donna","family":"Pickett","sequence":"additional","affiliation":[{"name":"National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, Maryland, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4769-4217","authenticated-orcid":false,"given":"Olivier","family":"Bodenreider","sequence":"additional","affiliation":[{"name":"National Library of Medicine, National Institutes of Health, Bethesda, Maryland, 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