ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2012
Hedging their mets: the use of uncertainty terms in clinical documents and its potential implications when sharing the documents with patients.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Verbal Probability Terms for Communicating Clinical Risk - a Systematic Review.The Ulster medical journal · 2024Pooled it
- Defining and Measuring Diagnostic Uncertainty in Medicine: A Systematic Review.Journal of general internal medicine · 2018Pooled it
- On-premise medical AI agents for reliable clinical decision-making.Nature medicine · 2026Article
- Unclear Trajectory and Uncertain Benefit: Creating a Lexicon for Clinical Uncertainty in Patients with Critical or Advanced Illness Using a Delphi Consensus Process.Medical decision making : an international journal of the Society for Medical Decision Making · 2025Article
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- Developing a Semantically Based Query Recommendation for an Electronic Medical Record Search Engine: Query Log Analysis and Design Implications.JMIR formative research · 2023Article
- Creating an ignorance-base: Exploring known unknowns in the scientific literature.Journal of biomedical informatics · 2023Article
- Under-specification as the source of ambiguity and vagueness in narrative phenotype algorithm definitions.BMC medical informatics and decision making · 2022Article
- An inclusive, real-world investigation of persuasion in language and verbal behavior.Journal of computational social science · 2022Article
- Comparison of Machine-Learning Algorithms for the Prediction of Current Procedural Terminology (CPT) Codes from Pathology Reports.Journal of pathology informatics · 2022Article
- Electronic Health Record (EHR) Abstraction.Perspectives in health information managemen · 2021Article
- Toward Understanding Clinical Context of Medication Change Events in Clinical Narratives.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2021Article
- Between Always and Never: Evaluating Uncertainty in Radiology Reports Using Natural Language Processing.Journal of digital imaging · 2020Article
- Quantifying risk factors in medical reports with a context-aware linear model.Journal of the American Medical Informatics Association : JAMIA · 2019Article
- Complexities, variations, and errors of numbering within clinical notes: the potential impact on information extraction and cohort-identification.BMC medical informatics and decision making · 2019Article
- OpenNotes in oncology: oncologists' perceptions and a baseline of the content and style of their clinician notes.Translational behavioral medicine · 2019Article
- Assessing the Readability of Freely Available ICU Notes.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2019Article
- Using Electronic Health Records To Generate Phenotypes For Research.Current protocols in human genetics · 2019Article
- Quantitative Analysis of Uncertainty in Medical Reporting: Creating a Standardized and Objective Methodology.Journal of digital imaging · 2018Review
- Speculation detection for Chinese clinical notes: Impacts of word segmentation and embedding models.Journal of biomedical informatics · 2016Article
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 quantified the use of uncertainty expressions, referred to as 'hedge' phrases, among a corpus of 100,000 clinical documents retrieved from our institution's electronic health record system. The frequency of each hedge phrase appearing in the corpus was characterized across document types and clinical departments. We also used a natural language processing tool to identify clinical concepts that were spatially, and potentially semantically, associated with the hedge phrases identified. The objective was to delineate the prevalence of hedge phrase usage in clinical documentation which may have a profound impact on patient care and provider-patient communication, and may become a source of unintended consequences when such documents are made directly accessible to patients via patient portals.
Indexed as
Identifiers
23304302PMC3540426What 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.