Artificial Intelligence in Healthcare Business Ecosystem

A Bibliometric Study

Authors

  • Albert Feisal Muhd Feisal Ismail Faculty of Technology Management and Technopreneurship, UNIVERSITI TEKNIKAL MALAYSIA (UTeM), Melaka, MALAYSIA
  • Mohd Fazli Mohd Sam Faculty of Technology Management and Technopreneurship, UNIVERSITI TEKNIKAL MALAYSIA (UTeM), Melaka, MALAYSIA
  • Kamarudin Abu Bakar Faculty of Technology Management and Technopreneurship, UNIVERSITI TEKNIKAL MALAYSIA (UTeM), Melaka, MALAYSIA
  • Amiruddin Ahamat Faculty of Technology Management and Technopreneurship, UNIVERSITI TEKNIKAL MALAYSIA (UTeM), Melaka, MALAYSIA
  • Sabrinah Adam Azman Hashim International Business School, UNIVERSITI TEKNOLOGI MALAYSIA (UTM), MALAYSIA
  • Muhammad Imran Qureshi Teesside University International Business School, Clarendon Building, TEESSIDE UNIVERSITY, Middlesbrough, Tees Valley, TS1 3BX, UNITED KINGDOM

DOI:

https://doi.org/10.3991/ijoe.v18i09.32251

Keywords:

Artificial intelligence, healthcare, business ecosystem, bibliometric analysis

Abstract


The use of artificial intelligence (AI) in healthcare is rapidly increasing. Digital health start-ups are bringing new digital technologies and services to the market, allowing for cost savings and service improvements in the healthcare sector. However, successful integration of AI into the healthcare ecosystem is required to realise its full potential. A digital ecosystem approach can be used to achieve this integration. Using bibliometric analysis, this research seeks to provide a clear overview of artificial intelligence in the digital healthcare ecosystem by analysing the published literature in the field. A systematic literature search was conducted on an article extracted from the Scopus database related to artificial intelligence in the digital healthcare ecosystem. A search technique was devised in order to collect relevant publications and bibliographic data (e.g., country, research area, sources, and author). The VOS viewer was used to visualise the co-authorship networks of countries as well as the co-occurrence of author keywords (Leiden University). This study is unique in a way that it presents a comprehensive picture of global efforts of the use of artificial intelligence in the healthcare business ecosystem. Academic researchers, policymakers, and healthcare practitioners who wish to collaborate in these areas in the future will benefit from the insights and research directions of this study

Covr iJOE Vol. 18 No. 09 (2022)

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Published

2022-07-11

How to Cite

Albert Feisal Muhd Feisal Ismail, Mohd Fazli Mohd Sam, Kamarudin Abu Bakar, Amiruddin Ahamat, Sabrinah Adam, & Qureshi, M. I. . (2022). Artificial Intelligence in Healthcare Business Ecosystem: A Bibliometric Study. International Journal of Online and Biomedical Engineering (iJOE), 18(09), pp. 100–114. https://doi.org/10.3991/ijoe.v18i09.32251

Issue

Vol. 18 No. 09 (2022)

Section

Papers

License

Copyright (c) 2022 Albert Feisal Muhd Feisal Ismail, Mohd Fazli Mohd Sam, Kamarudin Abu Bakar, Amiruddin Ahamat, Sabrinah Adam , Muhammad Imran Qureshi

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