Automated thematic analysis of health information technology (HIT) related incident reports

Automated thematic analysis of health information technology (HIT) related incident reports

In this paper, the authors describe a method for exploring the feasibility of using Natural Language Processing (NLP) and Machine Learning (ML) techniques to analyze patient safety incident database reports for themes. We developed a novel thematic analysis strategy to automatically detect keywords...

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Bibliographic Details
Main Authors:	Yanyan Li, Casper Shyr, Elizabeth M. Borycki, Andre W. Kushniruk
Format:	Article
Language:	English
Published:	Hong Kong Bao Long Accounting & Secretarial Limited 2021-12-01
Series:	Knowledge Management & E-Learning: An International Journal
Subjects:	patient safety incidents reporting natural language processing machine learning text mining
Online Access:	http://www.kmel-journal.org/ojs/index.php/online-publication/article/view/488

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