Literature DB >> 28323609

Language, Structure, and Reuse in the Electronic Health Record.

Angus Roberts1.   

Abstract

Medical language is at the heart of the electronic health record (EHR), with up to 70 percent of the information in that record being recorded in the natural language, free-text portion. In moving from paper medical records to EHRs, we have opened up opportunities for the reuse of this clinical information through automated search and analysis. Natural language, however, is challenging for computational methods. This paper examines the tension between the nuanced, qualitative nature of medical language and the logical, structured nature of computation as well as the way in which these have interacted with each other through the medium of the EHR. The paper also examines the potential for the computational analysis of natural language to overcome this tension.
© 2017 American Medical Association. All Rights Reserved.

Mesh:

Year:  2017        PMID: 28323609     DOI: 10.1001/journalofethics.2017.19.3.stas1-1703

Source DB:  PubMed          Journal:  AMA J Ethics


  8 in total

1.  Screening pregnant women for suicidal behavior in electronic medical records: diagnostic codes vs. clinical notes processed by natural language processing.

Authors:  Qiu-Yue Zhong; Elizabeth W Karlson; Bizu Gelaye; Sean Finan; Paul Avillach; Jordan W Smoller; Tianxi Cai; Michelle A Williams
Journal:  BMC Med Inform Decis Mak       Date:  2018-05-29       Impact factor: 2.796

2.  Negative Symptoms in Early-Onset Psychosis and Their Association With Antipsychotic Treatment Failure.

Authors:  Johnny Downs; Harry Dean; Suzannah Lechler; Nicola Sears; Rashmi Patel; Hitesh Shetty; Matthew Hotopf; Tamsin Ford; Marinos Kyriakopoulos; Covadonga M Diaz-Caneja; Celso Arango; James H MacCabe; Richard D Hayes; Laura Pina-Camacho
Journal:  Schizophr Bull       Date:  2019-01-01       Impact factor: 9.306

3.  The anatomy of electronic patient record ethics: a framework to guide design, development, implementation, and use.

Authors:  Tim Jacquemard; Colin P Doherty; Mary B Fitzsimons
Journal:  BMC Med Ethics       Date:  2021-02-04       Impact factor: 2.652

4.  Evaluation of Natural Language Processing for the Identification of Crohn Disease-Related Variables in Spanish Electronic Health Records: A Validation Study for the PREMONITION-CD Project.

Authors:  Carmen Montoto; Javier P Gisbert; Iván Guerra; Rocío Plaza; Ramón Pajares Villarroya; Luis Moreno Almazán; María Del Carmen López Martín; Mercedes Domínguez Antonaya; Isabel Vera Mendoza; Jesús Aparicio; Vicente Martínez; Ignacio Tagarro; Alonso Fernandez-Nistal; Lea Canales; Sebastian Menke; Fernando Gomollón
Journal:  JMIR Med Inform       Date:  2022-02-18

5.  Examination and diagnosis of electronic patient records and their associated ethics: a scoping literature review.

Authors:  Tim Jacquemard; Colin P Doherty; Mary B Fitzsimons
Journal:  BMC Med Ethics       Date:  2020-08-24       Impact factor: 2.652

6.  Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances.

Authors:  Sumithra Velupillai; Hanna Suominen; Maria Liakata; Angus Roberts; Anoop D Shah; Katherine Morley; David Osborn; Joseph Hayes; Robert Stewart; Johnny Downs; Wendy Chapman; Rina Dutta
Journal:  J Biomed Inform       Date:  2018-10-24       Impact factor: 6.317

7.  Unlocking the Potential of Electronic Health Records for Health Research.

Authors:  S Lee; Y Xu; A G D Apos Souza; E A Martin; C Doktorchik; Z Zhang; H Quan
Journal:  Int J Popul Data Sci       Date:  2020-01-30

8.  An ensemble approach for healthcare application and diagnosis using natural language processing.

Authors:  Badi Alekhya; R Sasikumar
Journal:  Cogn Neurodyn       Date:  2022-01-17       Impact factor: 3.473

  8 in total

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