{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,3,8]],"date-time":"2024-03-08T14:45:13Z","timestamp":1709909113488},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2022,6,6]],"date-time":"2022-06-06T00:00:00Z","timestamp":1654473600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,6,6]]},"abstract":"<jats:p>Background: ICD-11 will be used to report mortality statistics by WHO member countries starting in 2022. In the US, ICD-10-CM will likely continue to be used for morbidity coding for a long period of time. A map between ICD-10-CM and ICD-11 will therefore be useful for interoperability purpose between datasets coded with ICD-10-CM and ICD-11. Objectives: The objective of this study is to explore novel approaches to automatically derive a map between ICD-10-CM and ICD-11 through the sequential use of existing maps. Methods and results: Sequential mapping through ICD-10 yielded better coverage and accuracy compared to mapping through SNOMED CT. Conclusions: Sequential mapping is useful in automatically creating a draft map from ICD-10-CM to ICD-11 and would reduce manual curation efforts in creating the final map. The various approaches offer different trade-offs among coverage, recall and precision.<\/jats:p>","DOI":"10.3233\/shti220039","type":"book-chapter","created":{"date-parts":[[2022,6,7]],"date-time":"2022-06-07T09:30:13Z","timestamp":1654594213000},"source":"Crossref","is-referenced-by-count":3,"title":["Sequential Mapping \u2013 A Novel Approach to Map from ICD-10-CM to ICD-11"],"prefix":"10.3233","author":[{"given":"Julia","family":"Xu","sequence":"first","affiliation":[{"name":"National Library of Medicine, National Institutes of Health, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kin Wah","family":"Fung","sequence":"additional","affiliation":[{"name":"National Library of Medicine, National Institutes of Health, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Olivier","family":"Bodenreider","sequence":"additional","affiliation":[{"name":"National Library of Medicine, National Institutes of Health, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2021: One World, One Health \u2013 Global Partnership for Digital Innovation"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI220039","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,7]],"date-time":"2022-06-07T09:30:14Z","timestamp":1654594214000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI220039"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,6]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti220039","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,6,6]]}}}