ArticleJournal of the American Medical Informatics Association : JAMIA
Voice capture of medical residents' clinical information needs during an inpatient rotation.
Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Modelling of physicians' clinical information-seeking behaviour in Iran: a grounded theory study.BMJ open · 2024Article
- Exploring patient information needs in type 2 diabetes: A cross sectional study of questions.PloS one · 2018Article
- HARVEST, a longitudinal patient record summarizer.Journal of the American Medical Informatics Association : JAMIA · 2015Article
- A characterization of clinical questions asked by rehabilitation therapists.Journal of the Medical Library Association : JMLA · 2014Article
- A qualitative analysis of EHR clinical document synthesis by clinicians.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2012Article
- AskHERMES: An online question answering system for complex clinical questions.Journal of biomedical informatics · 2011Article
- Aligning Structured and Unstructured Medical Problems Using UMLS.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2010Article
- Resident physicians as human information systems: sources yet seekers.Journal of the American Medical Informatics Association : JAMIAArticle
- Towards spoken clinical-question answering: evaluating and adapting automatic speech-recognition systems for spoken clinical questions.Journal of the American Medical Informatics Association : JAMIAArticle
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Authors and funding
4 authors.
Funding
Abstract
objectiveTo identify some of the challenges that medical residents face in addressing their information needs in an inpatient setting, by examining how voice capture in natural language of clinical questions fits into workflow, and by characterizing the focus, format, and semantic content and complexity of their questions.
designInternal medicine residents captured information needs on a digital recorder while on a hospital inpatient service and then participated in semi-structured interviews. MEASUREMENTS: Interviews were analyzed to identify emergent themes. Recorded questions were analyzed for focus (diagnosis, treatment, or epidemiology) and format, either foreground (specific knowledge relating to an individual patient) or background (general knowledge about a condition). Semantic concepts and types were identified using MetaMap (UMLS - Unified Medical Language System) and manually.
resultsVoice recording of questions appeared to unmask residents' latent information needs. Although residents were able to record questions during workflow, there was a delay from the time questions materialized to when they were recorded. Question focus was distributed among diagnosis (32%), treatment (40%), and epidemiology (28%), and the majority of questions were background (69%). Questions were semantically complex; foreground and background questions averaged 12.6 (SD 6.0) and 9.1 (SD 6.0) UMLS concepts, respectively. MetaMap failed to recognize concepts when residents used acronyms or abbreviations or omitted key terms.
conclusionsWe found that it is feasible for residents to capture their clinical questions in natural language during workflow and that recording questions may prompt awareness of previously unrecognized information needs. However, the semantic complexity of typical questions and mapping failures due to residents' use of acronyms and abbreviations present challenges to machine-based extraction of semantic content.
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