Literature DB >> 34179900

What's in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization.

Griffin Adams1, Emily Alsentzer2, Mert Ketenci1, Jason Zucker1, Noémie Elhadad1.   

Abstract

Summarization of clinical narratives is a long-standing research problem. Here, we introduce the task of hospital-course summarization. Given the documentation authored throughout a patient's hospitalization, generate a paragraph that tells the story of the patient admission. We construct an English, text-to-text dataset of 109,000 hospitalizations (2M source notes) and their corresponding summary proxy: the clinician-authored "Brief Hospital Course" paragraph written as part of a discharge note. Exploratory analyses reveal that the BHC paragraphs are highly abstractive with some long extracted fragments; are concise yet comprehensive; differ in style and content organization from the source notes; exhibit minimal lexical cohesion; and represent silver-standard references. Our analysis identifies multiple implications for modeling this complex, multi-document summarization task.

Entities:  

Year:  2021        PMID: 34179900      PMCID: PMC8225248          DOI: 10.18653/v1/2021.naacl-main.382

Source DB:  PubMed          Journal:  Proc Conf


  33 in total

1.  Aggregating UMLS semantic types for reducing conceptual complexity.

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2.  Some unintended consequences of information technology in health care: the nature of patient care information system-related errors.

Authors:  Joan S Ash; Marc Berg; Enrico Coiera
Journal:  J Am Med Inform Assoc       Date:  2003-11-21       Impact factor: 4.497

3.  Copy-and-paste-and-paste.

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Journal:  Artif Intell Med       Date:  2016-01-21       Impact factor: 5.326

Review 5.  Automation bias: a systematic review of frequency, effect mediators, and mitigators.

Authors:  Kate Goddard; Abdul Roudsari; Jeremy C Wyatt
Journal:  J Am Med Inform Assoc       Date:  2011-06-16       Impact factor: 4.497

6.  Corpus-Based Problem Selection for EHR Note Summarization.

Authors:  Tielman T Van Vleck; Noémie Elhadad
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

7.  Challenges in clinical natural language processing for automated disorder normalization.

Authors:  Robert Leaman; Ritu Khare; Zhiyong Lu
Journal:  J Biomed Inform       Date:  2015-07-14       Impact factor: 6.317

8.  Characterizing the Source of Text in Electronic Health Record Progress Notes.

Authors:  Michael D Wang; Raman Khanna; Nader Najafi
Journal:  JAMA Intern Med       Date:  2017-08-01       Impact factor: 21.873

9.  Evaluating measures of redundancy in clinical texts.

Authors:  Rui Zhang; Serguei Pakhomov; Bridget T McInnes; Genevieve B Melton
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

10.  Instant availability of patient records, but diminished availability of patient information: a multi-method study of GP's use of electronic patient records.

Authors:  Tom Christensen; Anders Grimsmo
Journal:  BMC Med Inform Decis Mak       Date:  2008-03-28       Impact factor: 2.796

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  2 in total

1.  A Day-to-Day Approach for Automating the Hospital Course Section of the Discharge Summary.

Authors:  Vince Hartman; Thomas R Campion
Journal:  AMIA Annu Symp Proc       Date:  2022-05-23

2.  Hierarchical Annotation for Building A Suite of Clinical Natural Language Processing Tasks: Progress Note Understanding.

Authors:  Yanjun Gao; Dmitriy Dligach; Timothy Miller; Samuel Tesch; Ryan Laffin; Matthew M Churpek; Majid Afshar
Journal:  LREC Int Conf Lang Resour Eval       Date:  2022-06
  2 in total

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