Mapping the AI landscape in healthcare quality: A bibliometrics analysis

Title

Mapping the AI landscape in healthcare quality: A bibliometrics analysis

Creator

Baranidharan S.; Narayanan R.

Description

This study explores the application of Artificial Intelligence (AI) in healthcare quality improvement through a bibliometric analysis of 222 documents retrieved from the Scopus database using the keywords "healthcare," "quality," and "AI." By examining bibliographic coupling, citations, co-citations, author keywords, and co-occurrence networks, the research unveils the key themes, prominent authors, and emerging trends in this field. The analysis reveals a focus on areas like machine learning for disease prediction, clinical decision support systems, and patient safety improvement. Leading authors and research groups are identified, and promising future directions such as explainable AI and integration with electronic health records are highlighted. This study contributes to understanding the current landscape of AI in healthcare quality improvement and guiding future research for maximizing its impact. 2024, IGI Global. All rights reserved.

Source

Revolutionizing the Healthcare Sector with AI, pp. 207-228.

Date

2024-01-01

Publisher

IGI Global

Coverage

Baranidharan S., Christ University, India; Narayanan R., Dayananda Sagar University, India

Rights

Restricted Access

Relation

ISBN: 979-836933732-5; 979-836933731-8

Format

Online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.4018/979-8-3693-3731-8.ch010

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202742048&doi=10.4018%2f979-8-3693-3731-8.ch010&partnerID=40&md5=6688b3232c3f69ea86643c90973dd461