ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2013
Automatically extracting clinically useful sentences from UpToDate to support clinicians' information needs.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The trial behind it
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Who cites it
4 citing papers in PubMed.
- CERC: an interactive content extraction, recognition, and construction tool for clinical and biomedical text.BMC medical informatics and decision making · 2020Article
- Classification of clinically useful sentences in clinical evidence resources.Journal of biomedical informatics · 2016Article
- Formative evaluation of a patient-specific clinical knowledge summarization tool.International journal of medical informatics · 2016Article
- Classification of Clinically Useful Sentences in MEDLINE.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2015Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
unlabelledClinicians raise several information needs in the course of care. Most of these needs can be met by online health knowledge resources such as UpToDate. However, finding relevant information in these resources often requires significant time and cognitive effort.
objectiveTo design and assess algorithms for extracting from UpToDate the sentences that represent the most clinically useful information for patient care decision making.
methodsWe developed algorithms based on semantic predications extracted with SemRep, a semantic natural language processing parser. Two algorithms were compared against a gold standard composed of UpToDate sentences rated in terms of clinical usefulness.
resultsClinically useful sentences were strongly correlated with predication frequency (correlation= 0.95). The two algorithms did not differ in terms of top ten precision (53% vs. 49%; p=0.06).
conclusionsSemantic predications may serve as the basis for extracting clinically useful sentences. Future research is needed to improve the algorithms.
Indexed as
Identifiers
24551389PMC3900230What OpenQuestion holds
Registered trials
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