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A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities

Omar Ali Orcid Logo, Wiem Abdelbaki, Anup Shrestha Orcid Logo, Ersin Elbasi, Mohammad Abdallah Ali Alryalat, Yogesh Dwivedi Orcid Logo

Journal of Innovation and Knowledge, Volume: 8, Issue: 1, Start page: 100333

Swansea University Author: Yogesh Dwivedi Orcid Logo

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DOI (Published version): 10.1016/j.jik.2023.100333

Abstract

Administrative and medical processes of the healthcare organizations are rapidly changing because of the use of artificial intelligence (AI) systems. This change demonstrates the critical impact of AI at multiple activities, particularly in medical processes related to early detection and diagnosis....

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Published in: Journal of Innovation and Knowledge
ISSN: 2444-569X
Published: Elsevier BV 2001
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URI: https://cronfa.swan.ac.uk/Record/cronfa62303
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spelling 2023-01-30T13:34:05.1352985 v2 62303 2023-01-11 A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities d154596e71b99ad1285563c8fdd373d7 0000-0002-5547-9990 Yogesh Dwivedi Yogesh Dwivedi true false 2023-01-11 BBU Administrative and medical processes of the healthcare organizations are rapidly changing because of the use of artificial intelligence (AI) systems. This change demonstrates the critical impact of AI at multiple activities, particularly in medical processes related to early detection and diagnosis. Previous studies suggest that AI can raise the quality of services in the healthcare industry. AI-based technologies have reported to improve human life quality, making life easier, safer and more productive. This study presents a systematic review of academic articles on the application of AI in the healthcare sector. The review initially considered 1,988 academic articles from major scholarly databases. After a careful review, the list was filtered down to 180 articles for full analysis to present a classification framework based on four dimensions: AI-enabled healthcare benefits, challenges, methodologies, and functionalities. It was identified that AI continues to significantly outperform humans in terms of accuracy, efficiency and timely execution of medical and related administrative processes. Benefits for patients’ map directly to the relevant AI functionalities in the categories of diagnosis, treatment, consultation and health monitoring for self-management of chronic conditions. Implications for future research directions are identified in the areas of value-added healthcare services for medical decision-making, security and privacy for patient data, health monitoring features, and creative IT service delivery models using AI. Journal Article Journal of Innovation and Knowledge 8 1 100333 Elsevier BV 2444-569X Artificial intelligence; Healthcare; Systematic literature review, Technology benefits; Technology challenges 10 9 2001 2001-09-10 10.1016/j.jik.2023.100333 COLLEGE NANME Business COLLEGE CODE BBU Swansea University 2023-01-30T13:34:05.1352985 2023-01-11T10:36:02.9731723 Faculty of Humanities and Social Sciences School of Management - Business Management Omar Ali 0000-0001-5386-8100 1 Wiem Abdelbaki 2 Anup Shrestha 0000-0002-2952-0072 3 Ersin Elbasi 4 Mohammad Abdallah Ali Alryalat 5 Yogesh Dwivedi 0000-0002-5547-9990 6 62303__26432__f2e03c874cab4664a268dae7a47a3417.pdf 62303_VoR.pdf 2023-01-30T13:29:42.1544906 Output 2004555 application/pdf Version of Record true © 2023 The Author(s). This is an open access article under the CC BY-NC-ND license true eng http://creativecommons.org/licenses/by-nc-nd/4.0/
title A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities
spellingShingle A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities
Yogesh Dwivedi
title_short A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities
title_full A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities
title_fullStr A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities
title_full_unstemmed A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities
title_sort A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities
author_id_str_mv d154596e71b99ad1285563c8fdd373d7
author_id_fullname_str_mv d154596e71b99ad1285563c8fdd373d7_***_Yogesh Dwivedi
author Yogesh Dwivedi
author2 Omar Ali
Wiem Abdelbaki
Anup Shrestha
Ersin Elbasi
Mohammad Abdallah Ali Alryalat
Yogesh Dwivedi
format Journal article
container_title Journal of Innovation and Knowledge
container_volume 8
container_issue 1
container_start_page 100333
publishDate 2001
institution Swansea University
issn 2444-569X
doi_str_mv 10.1016/j.jik.2023.100333
publisher Elsevier BV
college_str Faculty of Humanities and Social Sciences
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hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
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department_str School of Management - Business Management{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Business Management
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description Administrative and medical processes of the healthcare organizations are rapidly changing because of the use of artificial intelligence (AI) systems. This change demonstrates the critical impact of AI at multiple activities, particularly in medical processes related to early detection and diagnosis. Previous studies suggest that AI can raise the quality of services in the healthcare industry. AI-based technologies have reported to improve human life quality, making life easier, safer and more productive. This study presents a systematic review of academic articles on the application of AI in the healthcare sector. The review initially considered 1,988 academic articles from major scholarly databases. After a careful review, the list was filtered down to 180 articles for full analysis to present a classification framework based on four dimensions: AI-enabled healthcare benefits, challenges, methodologies, and functionalities. It was identified that AI continues to significantly outperform humans in terms of accuracy, efficiency and timely execution of medical and related administrative processes. Benefits for patients’ map directly to the relevant AI functionalities in the categories of diagnosis, treatment, consultation and health monitoring for self-management of chronic conditions. Implications for future research directions are identified in the areas of value-added healthcare services for medical decision-making, security and privacy for patient data, health monitoring features, and creative IT service delivery models using AI.
published_date 2001-09-10T04:21:48Z
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