Literature DB >> 33936503

A Preliminary Characterization of Canonicalized and Non-Canonicalized Section Headers Across Variable Clinical Note Types.

Junjie Wang1, Shun Yu2, Anahita Davoudi3, Danielle L Mowery3.   

Abstract

In the electronic health record, the majority of clinically relevant information is stored within clinical notes. Most clinical notes follow a set organizational structure composed of canonicalized section headers that facilitate clinical review and information gathering. Standardized section header terminologies such as the SecTag terminology permit the identification and standardization of headers to a canonicalized form. Although the SecTag terminology has been evaluated extensively for history & physical notes, the coverage of canonical section header terms has not been assessed across other note types. For this pilot study, we conducted a coverage study and characterization of canonical section headers across 5 common, clinical note types and a generalizability study of canonical section headers detected within two types of clinical notes from Penn Medicine. ©2020 AMIA - All rights reserved.

Year:  2021        PMID: 33936503      PMCID: PMC8075444     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  9 in total

1.  Automation of a problem list using natural language processing.

Authors:  Stephane Meystre; Peter J Haug
Journal:  BMC Med Inform Decis Mak       Date:  2005-08-31       Impact factor: 2.796

2.  Finding temporal order in discharge summaries.

Authors:  Philip Bramsen; Pawan Deshpande; Yoong Keok Lee; Regina Barzilay
Journal:  AMIA Annu Symp Proc       Date:  2006

3.  Development and evaluation of a clinical note section header terminology.

Authors:  Joshua C Denny; Randolph A Miller; Kevin B Johnson; Anderson Spickard
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

4.  Evaluation of a method to identify and categorize section headers in clinical documents.

Authors:  Joshua C Denny; Anderson Spickard; Kevin B Johnson; Neeraja B Peterson; Josh F Peterson; Randolph A Miller
Journal:  J Am Med Inform Assoc       Date:  2009-08-28       Impact factor: 4.497

5.  Semantic annotation of clinical events for generating a problem list.

Authors:  Danielle L Mowery; Pamela Jordan; Janyce Wiebe; Henk Harkema; John Dowling; Wendy W Chapman
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

6.  Building an automated SOAP classifier for emergency department reports.

Authors:  Danielle Mowery; Janyce Wiebe; Shyam Visweswaran; Henk Harkema; Wendy W Chapman
Journal:  J Biomed Inform       Date:  2011-09-09       Impact factor: 6.317

7.  Recognition and Evaluation of Clinical Section Headings in Clinical Documents Using Token-Based Formulation with Conditional Random Fields.

Authors:  Hong-Jie Dai; Shabbir Syed-Abdul; Chih-Wei Chen; Chieh-Chen Wu
Journal:  Biomed Res Int       Date:  2015-08-26       Impact factor: 3.411

8.  Current approaches to identify sections within clinical narratives from electronic health records: a systematic review.

Authors:  Alexandra Pomares-Quimbaya; Markus Kreuzthaler; Stefan Schulz
Journal:  BMC Med Res Methodol       Date:  2019-07-18       Impact factor: 4.615

9.  MIMIC-III, a freely accessible critical care database.

Authors:  Alistair E W Johnson; Tom J Pollard; Lu Shen; Li-Wei H Lehman; Mengling Feng; Mohammad Ghassemi; Benjamin Moody; Peter Szolovits; Leo Anthony Celi; Roger G Mark
Journal:  Sci Data       Date:  2016-05-24       Impact factor: 6.444

  9 in total

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