Evaluating Expert-Layperson Agreement in Identifying Jargon Terms in Electronic Health Record Notes: Observational Study.
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| Title: | Evaluating Expert-Layperson Agreement in Identifying Jargon Terms in Electronic Health Record Notes: Observational Study. |
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| Authors: | Lalor JP; Department of Information Technology, Analytics, and Operations, Mendoza College of Business, University of Notre Dame, Notre Dame, IN, United States., Levy DA; Center for Biomedical and Health Research in Data Sciences, Miner School of Computer and Information Sciences, University of Massachusetts Lowell, Lowell, MA, United States., Jordan HS; Tufts University School of Medicine, Boston, MA, United States., Hu W; Center for Biomedical and Health Research in Data Sciences, Miner School of Computer and Information Sciences, University of Massachusetts Lowell, Lowell, MA, United States.; Center for Healthcare Organization & Implementation Research, Veterans Affairs Bedford Healthcare System, Bedford, MA, United States., Smirnova JK; Precision for Medicine, Flemington, NJ, United States., Yu H; Center for Biomedical and Health Research in Data Sciences, Miner School of Computer and Information Sciences, University of Massachusetts Lowell, Lowell, MA, United States.; Center for Healthcare Organization & Implementation Research, Veterans Affairs Bedford Healthcare System, Bedford, MA, United States.; Manning College of Information and Computer Sciences, University of Massachusetts Amherst, Amherst, MA, United States. |
| Source: | Journal of medical Internet research [J Med Internet Res] 2024 Oct 15; Vol. 26, pp. e49704. Date of Electronic Publication: 2024 Oct 15. |
| Publication Type: | Journal Article; Observational Study; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-8871 (Electronic) Linking ISSN: 14388871 NLM ISO Abbreviation: J Med Internet Res Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1438-8871 |
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| DOI: | 10.2196/49704 |
