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Voice-dictated versus typed-in clinician notes: linguistic properties and the potential implications on natural language processing.

TitleVoice-dictated versus typed-in clinician notes: linguistic properties and the potential implications on natural language processing.
Publication TypeJournal Article
Year of Publication2011
AuthorsZheng, K, Mei, Q, Yang, L, Manion, FJ, Balis, UJ, Hanauer, DA
JournalAMIA Annu Symp Proc
Date Published2011
KeywordsComputer Peripherals, Electronic Health Records, Humans, Linguistics, Medical Records, Narration, Natural Language Processing, Speech Recognition Software, User-Computer Interface

In this study, we comparatively examined the linguistic properties of narrative clinician notes created through voice dictation versus those directly entered by clinicians via a computer keyboard. Intuitively, the nature of voice-dictated notes would resemble that of natural language, while typed-in notes may demonstrate distinctive language features for reasons such as intensive usage of acronyms. The study analyses were based on an empirical dataset retrieved from our institutional electronic health records system. The dataset contains 30,000 voice-dictated notes and 30,000 notes that were entered manually; both were encounter notes generated in ambulatory care settings. The results suggest that between the narrative clinician notes created via these two different methods, there exists a considerable amount of lexical and distributional differences. Such differences could have a significant impact on the performance of natural language processing tools, necessitating these two different types of documents being differentially treated.

Alternate JournalAMIA Annu Symp Proc
PubMed ID22195229
PubMed Central IDPMC3243272
Grant ListHHSN276201000032C / / PHS HHS / United States
UL1RR024986 / RR / NCRR NIH HHS / United States
Frank Manion
David Hanauer
University of Michigan Comprehensive Cancer Center at North Campus Reserach Complex
1600 Huron Parkway, Bldg 100, Rm 100 
Mailing Address: 2800 Plymouth Rd, NCRC 100-1004
Ann Arbor, MI 48109-2800 
Ph. (734) 764-8848 Fax. (734) 615-0517
Please acknowledge the Cancer Center Support Grant (P30 CA046592) when publishing manuscripts or abstracts that utilized the services of the University of Michigan's Comprehensive Cancer Center's Shared Resource: Cancer Informatics.
Suggested language: "Research reported in this [publication/press release] was supported by the National Cancer Institute of the National Institutes of Health under award number P30CA046592."

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