Roberts, A. (2017) Language, Structure, and Reuse in the Electronic Health Record. AMA journal of ethics, 19 (3). pp. 281-288. ISSN 2376-6980
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 American Medical Association. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Funding Information: | Funder Grant number EUROPEAN COMMISSION - HORIZON 2020 644573 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 27 Jun 2017 11:52 |
Last Modified: | 27 Jun 2017 11:52 |
Published Version: | https://doi.org/10.1001/journalofethics.2017.19.3.... |
Status: | Published |
Publisher: | American Medical Association |
Refereed: | Yes |
Identification Number: | 10.1001/journalofethics.2017.19.3.stas1-1703 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:117926 |