Research agenda for using artificial intelligence in health governance: interpretive scoping review and framework

被引:3
作者
Ramezani, Maryam [1 ,2 ]
Takian, Amirhossein [1 ,2 ,3 ]
Bakhtiari, Ahad [2 ]
Rabiee, Hamid R. [4 ]
Ghazanfari, Sadegh [1 ]
Sazgarnejad, Saharnaz [5 ,6 ]
机构
[1] Univ Tehran Med Sci, Sch Publ Hlth, Dept Hlth Management Policy & Econ, Tehran, Iran
[2] Univ Tehran Med Sci, Hlth Equ Res Ctr HERC, Tehran, Iran
[3] Univ Tehran Med Sci, Sch Publ Hlth, Dept Global Hlth & Publ Policy, Tehran, Iran
[4] Sharif Univ Technol, Dept Comp Engn, Tehran, Iran
[5] Univ Tehran Med Sci, Sch Publ Hlth, Tehran, Iran
[6] Univ Tehran Med Sci, Sch Med, Tehran, Iran
关键词
Artificial intelligence; Health system; Governance; Stewardship; Framework; ANTIMICROBIAL STEWARDSHIP; SOCIAL DETERMINANTS; MANAGEMENT; COVID-19; QUALITY; CARE; TECHNOLOGIES; STRATEGIES; GOVERNMENT; MEDICINE;
D O I
10.1186/s13040-023-00346-w
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
BackgroundThe governance of health systems is complex in nature due to several intertwined and multi-dimensional factors contributing to it. Recent challenges of health systems reflect the need for innovative approaches that can minimize adverse consequences of policies. Hence, there is compelling evidence of a distinct outlook on the health ecosystem using artificial intelligence (AI). Therefore, this study aimed to investigate the roles of AI and its applications in health system governance through an interpretive scoping review of current evidence.MethodThis study intended to offer a research agenda and framework for the applications of AI in health systems governance. To include shreds of evidence with a greater focus on the application of AI in health governance from different perspectives, we searched the published literature from 2000 to 2023 through PubMed, Scopus, and Web of Science Databases.ResultsOur findings showed that integrating AI capabilities into health systems governance has the potential to influence three cardinal dimensions of health. These include social determinants of health, elements of governance, and health system tasks and goals. AI paves the way for strengthening the health system's governance through various aspects, i.e., intelligence innovations, flexible boundaries, multidimensional analysis, new insights, and cognition modifications to the health ecosystem area.ConclusionAI is expected to be seen as a tool with new applications and capabilities, with the potential to change each component of governance in the health ecosystem, which can eventually help achieve health-related goals.
引用
收藏
页数:18
相关论文
共 50 条
[41]   Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda [J].
Kumar, Yogesh ;
Koul, Apeksha ;
Singla, Ruchi ;
Ijaz, Muhammad Fazal .
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2022, 14 (7) :8459-8486
[42]   Artificial intelligence in the workplace - challenges, opportunities and HRM framework: a critical review and research agenda for change [J].
Mendy, John ;
Jain, Apoorva ;
Thomas, Asha .
JOURNAL OF MANAGERIAL PSYCHOLOGY, 2024,
[43]   Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda [J].
Yogesh Kumar ;
Apeksha Koul ;
Ruchi Singla ;
Muhammad Fazal Ijaz .
Journal of Ambient Intelligence and Humanized Computing, 2023, 14 :8459-8486
[44]   Artificial intelligence and prescriptive analytics for supply chain resilience: a systematic literature review and research agenda [J].
Smyth, Conn ;
Dennehy, Denis ;
Fosso Wamba, Samuel ;
Scott, Murray ;
Harfouche, Antoine .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2024, 62 (23) :8537-8561
[45]   THE GOVERNANCE OF ARTIFICIAL INTELLIGENCE: CONTEXT AND GENERAL FRAMEWORK [J].
Robles Carrillo, Margarita .
REVISTA ELECTRONICA DE ESTUDIOS INTERNACIONALES, 2020, (39)
[46]   The application of explainable artificial intelligence (XAI) in electronic health record research: A scoping review [J].
Caterson, Jessica ;
Lewin, Alexandra ;
Williamson, Elizabeth .
DIGITAL HEALTH, 2024, 10
[47]   A Review of Artificial Intelligence and Robotics in Transformed Health Ecosystems [J].
Denecke, Kerstin ;
Baudoin, Claude R. .
FRONTIERS IN MEDICINE, 2022, 9
[48]   Types of innovation and artificial intelligence: A systematic quantitative literature review and research agenda [J].
Mariani, Marcello M. ;
Machado, Isa ;
Nambisan, Satish .
JOURNAL OF BUSINESS RESEARCH, 2023, 155
[49]   Artificial Intelligence in Human Resources Management: A Review and Research Agenda [J].
Gelinas, Daniel ;
Sadreddin, Arman ;
Vahidov, Rustam .
PACIFIC ASIA JOURNAL OF THE ASSOCIATION FOR INFORMATION SYSTEMS, 2022, 14 (06) :1-42
[50]   Early detection of sepsis using artificial intelligence: a scoping review protocol [J].
Pepic, Ivana ;
Feldt, Robert ;
Ljungstrom, Lars ;
Torkar, Richard ;
Dalevi, Daniel ;
Maurin Soderholm, Hanna ;
Andersson, Lars-Magnus ;
Axelson-Fisk, Marina ;
Bohm, Katarina ;
Sjoqvist, Bengt Arne ;
Candefjord, Stefan .
SYSTEMATIC REVIEWS, 2021, 10 (01)