ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2010
Corpus-Based Problem Selection for EHR Note Summarization.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
9 citing papers in PubMed, 21 citations in OpenAlex.
- Patient Information Summarization in Clinical Settings: Scoping Review.JMIR medical informatics · 2023Article
- What's in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization.Proceedings of the conference. Association for Computational Linguistics. North American Chapter. Meeting · 2021Article
- Reducing Physicians' Cognitive Load During Chart Review: A Problem-Oriented Summary of the Patient Electronic Record.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2021Article
- Knowledge Author: facilitating user-driven, domain content development to support clinical information extraction.Journal of biomedical semantics · 2016Article
- Automated methods for the summarization of electronic health records.Journal of the American Medical Informatics Association : JAMIA · 2015Review
- Open Source Clinical NLP - More than Any Single System.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2014Article
- In search of common ground in handoff documentation in an Intensive Care Unit.Journal of biomedical informatics · 2012Article
- Developing a natural language processing application for measuring the quality of colonoscopy procedures.Journal of the American Medical Informatics Association : JAMIA · 2011Article
- Degree centrality for semantic abstraction summarization of therapeutic studies.Journal of biomedical informatics · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Physicians have access to patient notes in volumes far greater than what is practical to read within the context of a standard clinical scenario. As a preliminary step toward being able to provide a longitudinal summary of patient history, methods are examined for the automated extraction of relevant patient problems from existing clinical notes. We explore a grounded approach to identifying important patient problems from patient history. Methods build on existing NLP and text-summarization methodologies and leverage features observed in a relevant corpus.
Indexed as
Identifiers
21347092PMC3041431W75439561What 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.