{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,3]],"date-time":"2026-05-03T23:46:34Z","timestamp":1777851994627,"version":"3.51.4"},"reference-count":54,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2010,6,1]],"date-time":"2010-06-01T00:00:00Z","timestamp":1275350400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Health Informatics J"],"published-print":{"date-parts":[[2010,6]]},"abstract":"<jats:p>Efforts to improve healthcare by reducing medical errors often center on the accuracy of medical records. At the same time, the impact of new technologies such as speech recognition technology on the process of producing medical records has not been sufficiently examined. In this article we analyzed interview data from medical transcriptionists (MTs) describing how they do the work of transcription to produce accurate medical records from doctors\u2019 dictation. We found that medical transcriptionists rely on several types of skills that current speech recognition technology lacks. We conclude with a discussion of the implications of these findings for the design and implementation of SRT systems for the production of medical records and for how the work of MTs can help reduce medical errors.<\/jats:p>","DOI":"10.1177\/1460458210361936","type":"journal-article","created":{"date-parts":[[2010,6,23]],"date-time":"2010-06-23T05:33:23Z","timestamp":1277271203000},"page":"87-100","source":"Crossref","is-referenced-by-count":12,"title":["Understanding the work of medical transcriptionists in the production of medical records"],"prefix":"10.1177","volume":"16","author":[{"given":"Angela","family":"Cora Garcia","sequence":"first","affiliation":[{"name":"Department of Sociology, Bentley University, USA,"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gary C","family":"David","sequence":"additional","affiliation":[{"name":"Department of Sociology, Bentley University, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Donald","family":"Chand","sequence":"additional","affiliation":[{"name":"Department of Information & Process Management, Bentley University, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2010,6,23]]},"reference":[{"key":"atypb1","doi-asserted-by":"publisher","DOI":"10.1136\/jamia.2001.0080299"},{"issue":"50","key":"atypb2","first-page":"12","volume":"37","author":"DerGurahian J.","year":"2007","journal-title":"Mod Healthcare"},{"key":"atypb3","first-page":"1182","volume":"166","author":"Gillies J.","year":"2003","journal-title":"N Z Med J"},{"key":"atypb4","doi-asserted-by":"publisher","DOI":"10.1016\/S1386-5056(01)00205-2"},{"key":"atypb5","doi-asserted-by":"publisher","DOI":"10.1503\/cmaj.071658"},{"key":"atypb6","doi-asserted-by":"publisher","DOI":"10.1097\/MCC.0b013e3282f1bb0e"},{"issue":"11","key":"atypb7","first-page":"44","volume":"14","author":"Goedert J.","year":"2006","journal-title":"Health Data Manage"},{"key":"atypb8","doi-asserted-by":"publisher","DOI":"10.3122\/jabfm.2007.02.060113"},{"key":"atypb9","first-page":"28","volume":"2","author":"Vance J.","year":"2006","journal-title":"www.aamt.org"},{"key":"atypb10","doi-asserted-by":"publisher","DOI":"10.1176\/appi.ps.54.5.677"},{"key":"atypb11","doi-asserted-by":"publisher","DOI":"10.1093\/intqhc\/mzi015"},{"key":"atypb12","volume-title":"Medical transcriptionist job descriptions","author":"Association for Healthcare Documentation Integrit.","year":"2007"},{"key":"atypb13","unstructured":"Charest TR Speech recognition: part of a complete solution. 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