The Role of the Sharing Economy and Artificial Intelligence in Health Care: Opportunities and Challenges

被引:12
|
作者
Wu, Huailiang [1 ,2 ]
Chan, Nga-Kwo [1 ,2 ]
Zhang, Casper J. P. [3 ]
Ming, Wai-Kit [1 ,2 ,4 ]
机构
[1] Jinan Univ, Int Sch, Guangzhou, Guangdong, Peoples R China
[2] Jinan Univ, Sch Med, 601 West Huangpu Ave, Guangzhou, Guangdong, Peoples R China
[3] Univ Hong Kong, Sch Publ Hlth, Hong Kong, Peoples R China
[4] Peking Univ, HSBC Business Sch, Shenzhen, Peoples R China
关键词
health care; health care system; sharing economy; artificial intelligence; SYSTEM;
D O I
10.2196/13469
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Health care systems worldwide have been influenced by the globally growing trend toward a sharing economy and will likely advance with these trends in the near future. Therefore, based on peer-to-peer relationships between individuals, sharing health care works by renting medical staff, facilities, and other medical resources. Medical data innovation, integration, analysis, and sharing have the potential to dramatically change the current pattern of the health care system and to provide precise and predictive medical assessment for individuals in the future. In addition, artificial intelligence could be useful in the fields of both clinical medicine and medical research and help to minimize the scarcity of human resources and broaden the role of humans in health care.
引用
收藏
页数:4
相关论文
共 50 条
  • [31] Artificial Intelligence: Opportunities and Challenges for Public Administration
    David, Genevieve
    [J]. CANADIAN PUBLIC ADMINISTRATION-ADMINISTRATION PUBLIQUE DU CANADA, 2024, 67 (03): : 388 - 406
  • [32] Artificial Intelligence: Opportunities and Challenges for the Public Sector
    Susar, Deniz
    Aquaro, Vincenzo
    [J]. PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON THEORY AND PRACTICE OF ELECTRONIC GOVERNANCE (ICEGOV2019), 2019, : 418 - 426
  • [33] On the Interpretability of Artificial Intelligence in Radiology: Challenges and Opportunities
    Reyes, Mauricio
    Meier, Raphael
    Pereira, Sergio
    Silva, Carlos A.
    Dahlweid, Fried-Michael
    Von Tengg-Kobligk, Hendrik
    Summers, Ronald M.
    Wiest, Roland
    [J]. RADIOLOGY-ARTIFICIAL INTELLIGENCE, 2020, 2 (03)
  • [34] Challenges and opportunities for artificial intelligence in oncological imaging
    Cheung, H. M. C.
    Rubin, D.
    [J]. CLINICAL RADIOLOGY, 2021, 76 (10) : 728 - 736
  • [35] Artificial Intelligence in Hematology: Current Challenges and Opportunities
    Nathan Radakovich
    Matthew Nagy
    Aziz Nazha
    [J]. Current Hematologic Malignancy Reports, 2020, 15 : 203 - 210
  • [36] Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities
    Kusters, Remy
    Misevic, Dusan
    Berry, Hugues
    Cully, Antoine
    Le Cunff, Yann
    Dandoy, Loic
    Diaz-Rodriguez, Natalia
    Ficher, Marion
    Grizou, Jonathan
    Othmani, Alice
    Palpanas, Themis
    Komorowski, Matthieu
    Loiseau, Patrick
    Frier, Clement Moulin
    Nanini, Santino
    Quercia, Daniele
    Sebag, Michele
    Fogelman, Francoise Soulie
    Taleb, Sofiane
    Tupikina, Liubov
    Sahu, Vaibhav
    Vie, Jill-Jenn
    Wehbi, Fatima
    [J]. FRONTIERS IN BIG DATA, 2020, 3
  • [37] Artificial Intelligence in Hematology: Current Challenges and Opportunities
    Radakovich, Nathan
    Nagy, Matthew
    Nazha, Aziz
    [J]. CURRENT HEMATOLOGIC MALIGNANCY REPORTS, 2020, 15 (03) : 203 - 210
  • [38] Opportunities and challenges in application of artificial intelligence in pharmacology
    Kumar, Mandeep
    Nguyen, T. P. Nhung
    Kaur, Jasleen
    Singh, Thakur Gurjeet
    Soni, Divya
    Singh, Randhir
    Kumar, Puneet
    [J]. PHARMACOLOGICAL REPORTS, 2023, 75 (01) : 3 - 18
  • [39] Opportunities and Challenges in Applying Artificial Intelligence to Bioengineering
    Yaman, Fusun
    Adler, Aaron
    Beal, Jacob
    [J]. AUTOMATED REASONING FOR SYSTEMS BIOLOGY AND MEDICINE, 2019, 30 : 425 - 452
  • [40] Growing an Artificial Intelligence Capability: Challenges and Opportunities
    Alt, Jonathan K.
    Klingensmith, Kurt
    Faber, Isaac
    [J]. ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR MULTI-DOMAIN OPERATIONS APPLICATIONS II, 2020, 11413