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Inform. med."],"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Previously, the lack of a standard body part ontology has been identified as a critical deficiency needed to enable enterprise imaging. This whitepaper aims to provide a comprehensive assessment of anatomical ontologies with the aim of facilitating enterprise imaging. It offers an overview of the process undertaken by the Health Information Management Systems Society (HIMSS) and Society for Imaging Informatics in medicine (SIIM) Enterprise Imaging Community Data Standards Evaluation workgroup to assess the viability of existing ontologies for supporting cross-disciplinary medical imaging workflows. The report analyzes the responses received from representatives of three significant ontologies: SNOMED CT, LOINC, and ICD, and delves into their suitability for the complex landscape of enterprise imaging. It highlights the strengths and limitations of each ontology, ultimately concluding that SNOMED CT is the most viable solution for standardizing anatomy terminology across the medical imaging community.<\/jats:p>","DOI":"10.1007\/s10278-024-01118-6","type":"journal-article","created":{"date-parts":[[2024,6,10]],"date-time":"2024-06-10T20:08:50Z","timestamp":1718050130000},"page":"2709-2721","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Report of the\u00a0HIMSS-SIIM Enterprise Imaging Community Data Standards Evaluation Workgroup: Anatomic Ontology Assessment"],"prefix":"10.1007","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7844-2402","authenticated-orcid":false,"given":"Dawn","family":"Cram","sequence":"first","affiliation":[]},{"given":"Monief","family":"Eid","sequence":"additional","affiliation":[]},{"given":"Mitchell M.","family":"Goldburgh","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8815-6805","authenticated-orcid":false,"given":"Jason","family":"Nagels","sequence":"additional","affiliation":[]},{"given":"Lawrence","family":"Yudkovitch","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1729-5071","authenticated-orcid":false,"given":"Alexander J.","family":"Towbin","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,6,10]]},"reference":[{"key":"1118_CR1","doi-asserted-by":"publisher","first-page":"114","DOI":"10.1016\/j.jradnu.2012.08.001","volume":"31","author":"EV Lang","year":"2012","unstructured":"Lang EV: A Better Patient Experience Through Better Communication. 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Available at https:\/\/digital.nhs.uk\/developer\/guides-and-documentation\/building-healthcare-software\/clinical-coding-classifications-and-terminology. Accessed 11 June 2023.","key":"1118_CR4"},{"key":"1118_CR5","doi-asserted-by":"publisher","first-page":"1564","DOI":"10.1016\/j.jaad.2018.08.035","volume":"80","author":"KA Kenneweg","year":"2019","unstructured":"Kenneweg KA, Halpern AC, Chalmers RJG, Soyer HP, Weichenthal M, Molenda MA: Developing an international standard for the classification of surface anatomic location for use in clinical practice and epidemiologic research. J Am Acad Dermatol 80:1564\u20131584, 2019","journal-title":"J Am Acad Dermatol"},{"unstructured":"Defining unified data structures to integrate new functionality into imaging informatics platforms. Available at https:\/\/www.openimagingdata.org\/. Accessed 11 June 2023.","key":"1118_CR6"},{"issue":"7","key":"1118_CR7","doi-asserted-by":"publisher","first-page":"885","DOI":"10.1093\/jamia\/ocy053","volume":"25","author":"DJ Vreeman","year":"2018","unstructured":"Vreeman DJ, Abhyankar S, Wang KC, Carr C, Collins B, Rubin DL, Langlotz CP. The LOINC RSNA radiology playbook - a unified terminology for radiology procedures. J Am Med Inform Assoc. 2018 Jul 1;25(7):885\u2013893. https:\/\/doi.org\/10.1093\/jamia\/ocy053. PMID: 29850823; PMCID: PMC6016707.","journal-title":"J Am Med Inform Assoc"},{"unstructured":"Advancing Interoperability Together Globally, Global Digital Health Partnership White Paper on Interoperability. Available at https:\/\/gdhp.health\/wp-content\/uploads\/2022\/11\/Advancing-Interoperability-Together-Globally-2.pdf. Accessed 11 June 2023.","key":"1118_CR8"},{"unstructured":"ICD-11 2023 release is here. Available at https:\/\/www.who.int\/news\/item\/14-02-2023-icd-11-2023-release-is-here. Accessed 11 June 2023.","key":"1118_CR9"},{"unstructured":"SNOMED CT in FHIR. Available at https:\/\/build.fhir.org\/snomedct-usage.html. Accessed 11 June 2023.","key":"1118_CR10"},{"unstructured":"DICOM. Available at https:\/\/www.snomed.org\/standards-partnerships\/dicom. Accessed 11 June 2023.","key":"1118_CR11"},{"unstructured":"Clinicians. Available at https:\/\/www.snomed.org\/clinicians. Accessed 11 June 2023.","key":"1118_CR12"},{"unstructured":"SNOMED CT to ICD-10-CM Map. Available at https:\/\/www.nlm.nih.gov\/research\/umls\/mapping_projects\/snomedct_to_icd10cm.html. Accessed 11 June 2023.","key":"1118_CR13"}],"container-title":["Journal of Imaging Informatics in Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-024-01118-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10278-024-01118-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-024-01118-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,2]],"date-time":"2024-12-02T19:06:16Z","timestamp":1733166376000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10278-024-01118-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,10]]},"references-count":13,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2024,12]]}},"alternative-id":["1118"],"URL":"https:\/\/doi.org\/10.1007\/s10278-024-01118-6","relation":{},"ISSN":["2948-2933"],"issn-type":[{"type":"electronic","value":"2948-2933"}],"subject":[],"published":{"date-parts":[[2024,6,10]]},"assertion":[{"value":"9 November 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 April 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 April 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 June 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The following authors declare competing interests: Dawn Cram\u2014Global Product Manager, PaxeraHealth; Mitchell Goldburgh\u2014Sr. Director, Industry Solution, NTT DATA Services; Jason Nagels\u2014CEO, Founder, Nagels Consulting; Lawrence Yudkovitch\u2014Sr. Product Manager, Cleerly; and Alexander J. Towbin\u2014(a) author royalties (Elsevier), (b) funded travel (Merative), and (c) consultant (<i>Applied Radiology<\/i>), while Monief Eid declares none.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing Interests"}}]}}