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dc.contributor.authorYaneva, Victoria
dc.contributor.authorMee, Janet
dc.contributor.authorHa, Le An
dc.contributor.authorHarik, Polina
dc.contributor.authorJodoin, Michael
dc.contributor.authorMechaber, Alex
dc.date.accessioned2022-08-22T15:09:25Z
dc.date.available2022-08-22T15:09:25Z
dc.date.issued2022-07-31
dc.identifier.citationYaneva, V., Mee, J., Ha, L.A., Harik, P., Jodoin, M. and Mechaber, A. (2022) The USMLE® Step 2 Clinical Skills Patient Note Corpus. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 2880–2886, Seattle, United States. Association for Computational Linguistics.en
dc.identifier.isbn9781955917711en
dc.identifier.doi10.18653/v1/2022.naacl-main.208en
dc.identifier.urihttp://hdl.handle.net/2436/624901
dc.description© 2022 The Authors. Published by ACL. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website: https://aclanthology.org/2022.naacl-main.208en
dc.description.abstractThis paper presents a corpus of 43,985 clinical patient notes (PNs) written by 35,156 examinees during the high-stakes USMLE® Step 2 Clinical Skills examination. In this exam, examinees interact with standardized patients - people trained to portray simulated scenarios called clinical cases. For each encounter, an examinee writes a PN, which is then scored by physician raters using a rubric of clinical concepts, expressions of which should be present in the PN. The corpus features PNs from 10 clinical cases, as well as the clinical concepts from the case rubrics. A subset of 2,840 PNs were annotated by 10 physician experts such that all 143 concepts from the case rubrics (e.g., shortness of breath) were mapped to 34,660 PN phrases (e.g., dyspnea, difficulty breathing). The corpus is available via a data sharing agreement with NBME and can be requested at https://www.nbme.org/services/data-sharing.en
dc.formatapplication/pdfen
dc.language.isoenen
dc.publisherAssociation for Computational Linguisticsen
dc.relation.urlhttps://aclanthology.org/2022.naacl-main.208/en
dc.subjectpatient notesen
dc.subjectclinical skills examinationen
dc.titleThe USMLE® Step 2 clinical skills patient note corpusen
dc.typeConference contributionen
dc.date.updated2022-08-22T09:39:38Z
dc.conference.nameThe 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
dc.conference.locationSeattle, Washington & Online
pubs.finish-date2022-07-15
pubs.start-date2022-07-10
dc.date.accepted2022-04-07
rioxxterms.funderUniversity of Wolverhamptonen
rioxxterms.identifier.projectUOW22082022LAHen
rioxxterms.versionVoRen
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0/en
rioxxterms.licenseref.startdate2022-08-22en
dc.source.beginpage2880
dc.source.endpage2886
dc.description.versionPublished version
refterms.dateFCD2022-08-22T15:09:13Z
refterms.versionFCDVoR
refterms.dateFOA2022-08-22T15:09:25Z


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