NDLI: A prototype application for real-time recognition and disambiguation of clinical abbreviations

Please wait, while we are loading the content...

Translating a trillion points of data into therapies, diagnostics, and new insights into disease

Exploring the effectiveness of medical entity recognition for clinical information retrieval

Efficient local ligand-binding site search using landmark mds

Refining health outcomes of interest using formal concept analysis and semantic query expansion

Pathway-based classification of brain activities for alzheimer's disease analysis

A prototype application for real-time recognition and disambiguation of clinical abbreviations

Bayesian variable selection for linear regression in high dimensional microarray data

Document sublanguage clustering to detect medical specialty in cross-institutional clinical texts

BSML: bio-synergy modeling language for multi-component and multi-target analysis

BoDBES: a boosted dictionary-based biomedical entity spotter

Breast and prostate cancer expression similarity analysis by iterative SVM based ensemble gene selection

Combining dictionaries and ontologies for drug name recognition in biomedical texts

A prototype application for real-time recognition and disambiguation of clinical abbreviations

Content Provider	ACM Digital Library
Author	Giuse, Dario A. Xu, Hua Wu, Yonghui Rosenbloom, S. Trent Miller, Randolph A. Denny, Joshua Song, Min
Abstract	To save time, healthcare providers frequently use abbreviations while authoring clinical documents. Nevertheless, abbreviations that authors deem unambiguous often confuse other readers, including clinicians, patients, and natural language processing (NLP) systems. Most current clinical NLP systems "post-process" notes long after clinicians enter them into electronic health record systems (EHRs). Such post-processing cannot guarantee 100% accuracy in abbreviation identification and disambiguation, since multiple alternative interpretations exist. In this paper, authors describe a prototype system for real-time Clinical Abbreviation Recognition and Disambiguation (CARD) -- i.e., a system that interacts with authors during note generation to verify correct abbreviation senses. The CARD system design anticipates future integration with web-based clinical documentation systems to improve quality of healthcare records. The prototype application embodies three word sense disambiguation (WSD) methods. We evaluated the accuracy and response times of the prototype CARD system in a simulated study. Using an existing test data set of 25 commonly observed, highly ambiguous clinical abbreviations the evaluation demonstrated that the best WSD method had an accuracy of 88.8%, and a reasonable average response time of 1.6 milliseconds per each abbreviation. The study indicates potential feasibility of real-time NLP-enabled abbreviation disambiguation within clinical documentation systems.
Starting Page	7
Ending Page	8
Page Count	2
File Format	PDF
ISBN	9781450324199
DOI	10.1145/2512089.2512096
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-11-01
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Clinical documentation system Word sense disambiguation Clinical abbreviation Real time Medical language processing
Content Type	Text
Resource Type	Article

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in