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2024 | OriginalPaper | Chapter

Business Intelligence in Healthcare: A Review of Knowledge Structures and Level of Analysis

Authors : Agung Purnomo, Mega Firdaus, Fairuz Iqbal Maulana, Bigraf Triangga, Muchamad Indung Hikmawan, Zahra Tazkia Nurul Hikmah

Published in: Proceedings of the 4th International Conference on Electronics, Biomedical Engineering, and Health Informatics

Publisher: Springer Nature Singapore

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Abstract

Business intelligence in healthcare continues to evolve and is essential for increasing healthcare system efficiency, improving patient data management, developing entrepreneurship, and providing deeper insights for healthcare professionals to improve clinical services and outcomes. This study attempts to visually map the sector and examine current business intelligence trends in the healthcare sector. The study analyzes 547 secondary data publications from the Scopus database that were published between 2002 and 2022 using a bibliometric knowledge structure and level of analysis. According to the findings of the research conducted at Universidade do Minho, Portugal, and the United States were the most productive research institutions and countries related to business intelligence in healthcare. This research suggests classifying business intelligence in healthcare studies themes, such as business analytics, information systems, health service, internet of things, and analytics, into BIHIA research themes.

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Title: Business Intelligence in Healthcare: A Review of Knowledge Structures and Level of Analysis
Authors: Agung Purnomo
Mega Firdaus
Fairuz Iqbal Maulana
Bigraf Triangga
Muchamad Indung Hikmawan
Zahra Tazkia Nurul Hikmah
Publisher: Springer Nature Singapore
Book: Proceedings of the 4th International Conference on Electronics, Biomedical Engineering, and Health Informatics
Print ISBN: 978-981-9714-62-9

Electronic ISBN: 978-981-9714-63-6

Copyright Year: 2024
DOI: https://doi.org/10.1007/978-981-97-1463-6_35

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