ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2011
Voice-dictated versus typed-in clinician notes: linguistic properties and the potential implications on natural language processing.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Speech recognition for clinical documentation from 1990 to 2018: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2019Pooled it
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- Assessing the Readability of Freely Available ICU Notes.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2019Article
- Assessing the readability of ClinicalTrials.gov.Journal of the American Medical Informatics Association : JAMIA · 2016Article
- Supporting information retrieval from electronic health records: A report of University of Michigan's nine-year experience in developing and using the Electronic Medical Record Search Engine (EMERSE).Journal of biomedical informatics · 2015Article
- Article
- Location bias of identifiers in clinical narratives.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2013Article
- Describing the relationship between cat bites and human depression using data from an electronic health record.PloS one · 2013Article
- Applying multiple methods to assess the readability of a large corpus of medical documents.Studies in health technology and informatics · 2013Article
- Hedging their mets: the use of uncertainty terms in clinical documents and its potential implications when sharing the documents with patients.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2012Article
- Combining corpus-derived sense profiles with estimated frequency information to disambiguate clinical abbreviations.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
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.
Indexed as
Identifiers
22195229PMC3243272What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.