IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/v25y2023i6d10.1007_s10796-023-10412-7.html
   My bibliography  Save this article

Responsible Artificial Intelligence (AI) for Digital Health and Medical Analytics

Author

Listed:
  • Uthayasankar Sivarajah

    (University of Bradford)

  • Yichuan Wang

    (Sheffield University Management School)

  • Hossein Olya

    (Sheffield University Management School)

  • Sherin Mathew

    (AI Tech UK)

Abstract

No abstract is available for this item.

Suggested Citation

  • Uthayasankar Sivarajah & Yichuan Wang & Hossein Olya & Sherin Mathew, 2023. "Responsible Artificial Intelligence (AI) for Digital Health and Medical Analytics," Information Systems Frontiers, Springer, vol. 25(6), pages 2117-2122, December.
  • Handle: RePEc:spr:infosf:v:25:y:2023:i:6:d:10.1007_s10796-023-10412-7
    DOI: 10.1007/s10796-023-10412-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-023-10412-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10796-023-10412-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Sivarajah, Uthayasankar & Kamal, Muhammad Mustafa & Irani, Zahir & Weerakkody, Vishanth, 2017. "Critical analysis of Big Data challenges and analytical methods," Journal of Business Research, Elsevier, vol. 70(C), pages 263-286.
    2. Rui Liu & Suraksha Gupta & Parth Patel, 2023. "The Application of the Principles of Responsible AI on Social Media Marketing for Digital Health," Information Systems Frontiers, Springer, vol. 25(6), pages 2275-2299, December.
    3. Shivam Gupta & Shampy Kamboj & Surajit Bag, 2023. "Role of Risks in the Development of Responsible Artificial Intelligence in the Digital Healthcare Domain," Information Systems Frontiers, Springer, vol. 25(6), pages 2257-2274, December.
    4. Weisha Wang & Long Chen & Mengran Xiong & Yichuan Wang, 2023. "Accelerating AI Adoption with Responsible AI Signals and Employee Engagement Mechanisms in Health Care," Information Systems Frontiers, Springer, vol. 25(6), pages 2239-2256, December.
    5. Cristina Trocin & Patrick Mikalef & Zacharoula Papamitsiou & Kieran Conboy, 2023. "Responsible AI for Digital Health: a Synthesis and a Research Agenda," Information Systems Frontiers, Springer, vol. 25(6), pages 2139-2157, December.
    6. Samuel Fosso Wamba & Maciel M. Queiroz, 2023. "Responsible Artificial Intelligence as a Secret Ingredient for Digital Health: Bibliometric Analysis, Insights, and Research Directions," Information Systems Frontiers, Springer, vol. 25(6), pages 2123-2138, December.
    7. Siala, Haytham & Wang, Yichuan, 2022. "SHIFTing artificial intelligence to be responsible in healthcare: A systematic review," Social Science & Medicine, Elsevier, vol. 296(C).
    8. Pradeep Kumar & Yogesh K. Dwivedi & Ambuj Anand, 2023. "Responsible Artificial Intelligence (AI) for Value Formation and Market Performance in Healthcare: the Mediating Role of Patient’s Cognitive Engagement," Information Systems Frontiers, Springer, vol. 25(6), pages 2197-2220, December.
    9. Marina Johnson & Abdullah Albizri & Antoine Harfouche, 2023. "Responsible Artificial Intelligence in Healthcare: Predicting and Preventing Insurance Claim Denials for Economic and Social Wellbeing," Information Systems Frontiers, Springer, vol. 25(6), pages 2179-2195, December.
    10. Effy Vayena & Alessandro Blasimme & I Glenn Cohen, 2018. "Machine learning in medicine: Addressing ethical challenges," PLOS Medicine, Public Library of Science, vol. 15(11), pages 1-4, November.
    11. Ramzi El-Haddadeh & Adam Fadlalla & Nitham M. Hindi, 2023. "Is There a Place for Responsible Artificial Intelligence in Pandemics? A Tale of Two Countries," Information Systems Frontiers, Springer, vol. 25(6), pages 2221-2237, December.
    12. Fatema Al-Dhaen & Jiachen Hou & Nripendra P. Rana & Vishanth Weerakkody, 2023. "Advancing the Understanding of the Role of Responsible AI in the Continued Use of IoMT in Healthcare," Information Systems Frontiers, Springer, vol. 25(6), pages 2159-2178, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pradeep Kumar & Yogesh K. Dwivedi & Ambuj Anand, 2023. "Responsible Artificial Intelligence (AI) for Value Formation and Market Performance in Healthcare: the Mediating Role of Patient’s Cognitive Engagement," Information Systems Frontiers, Springer, vol. 25(6), pages 2197-2220, December.
    2. Samuel Fosso Wamba & Maciel M. Queiroz & Ilias O. Pappas & Yulia Sullivan, 2024. "Artificial Intelligence Capability and Firm Performance: A Sustainable Development Perspective by the Mediating Role of Data-Driven Culture," Information Systems Frontiers, Springer, vol. 26(6), pages 2189-2203, December.
    3. Samuel Fosso Wamba & Maciel M. Queiroz, 2023. "Responsible Artificial Intelligence as a Secret Ingredient for Digital Health: Bibliometric Analysis, Insights, and Research Directions," Information Systems Frontiers, Springer, vol. 25(6), pages 2123-2138, December.
    4. Farid Gasmi & Paul Noumba Um & Laura Recuero Virto & Peter Saba, 2024. "Digital Literacy, Sustainable Development and Radiation Regulation: Policy and Information Systems Implications," Information Systems Frontiers, Springer, vol. 26(6), pages 2027-2057, December.
    5. Tabesh, Pooya & Mousavidin, Elham & Hasani, Sona, 2019. "Implementing big data strategies: A managerial perspective," Business Horizons, Elsevier, vol. 62(3), pages 347-358.
    6. Aaltonen, Aleksi Ville & Alaimo, Cristina & Kallinikos, Jannis, 2021. "The making of data commodities: data analytics as an embedded process," LSE Research Online Documents on Economics 110296, London School of Economics and Political Science, LSE Library.
    7. Vincenzo Varriale & Antonello Cammarano & Francesca Michelino & Mauro Caputo, 2025. "Critical analysis of the impact of artificial intelligence integration with cutting-edge technologies for production systems," Journal of Intelligent Manufacturing, Springer, vol. 36(1), pages 61-93, January.
    8. Sidney Anderson, 2024. "Expanding data literacy to include data preparation: building a sound marketing analytics foundation," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(2), pages 227-234, June.
    9. Michela Arnaboldi, 2018. "The Missing Variable in Big Data for Social Sciences: The Decision-Maker," Sustainability, MDPI, vol. 10(10), pages 1-18, September.
    10. Anike Sult & Janice Wobst & Rainer Lueg, 2024. "The role of training in implementing corporate sustainability: A systematic literature review," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(1), pages 1-30, January.
    11. Brewis, Claire & Dibb, Sally & Meadows, Maureen, 2023. "Leveraging big data for strategic marketing: A dynamic capabilities model for incumbent firms," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    12. Mashael Alsobhi & Harpreet Singh Sachdev & Mohamed Faisal Chevidikunnan & Reem Basuodan & Dhanesh Kumar K U & Fayaz Khan, 2022. "Facilitators and Barriers of Artificial Intelligence Applications in Rehabilitation: A Mixed-Method Approach," IJERPH, MDPI, vol. 19(23), pages 1-21, November.
    13. Andrea Kolková, 2024. "Data Analysis in Demand Forecasting: A Case Study of Poetry Book Sales in the European Area," Central European Business Review, Prague University of Economics and Business, vol. 2024(5), pages 51-69.
    14. Leogrande, Angelo, 2021. "The Destruction of Price-Representativeness," MPRA Paper 111239, University Library of Munich, Germany.
    15. Damminda Alahakoon & Rashmika Nawaratne & Yan Xu & Daswin Silva & Uthayasankar Sivarajah & Bhumika Gupta, 2023. "Self-Building Artificial Intelligence and Machine Learning to Empower Big Data Analytics in Smart Cities," Information Systems Frontiers, Springer, vol. 25(1), pages 221-240, February.
    16. Taiwen Feng & Hongyan Sheng, 2023. "Identifying the equifinal configurations of prompting green supply chain integration and subsequent performance outcome," Business Strategy and the Environment, Wiley Blackwell, vol. 32(8), pages 5234-5251, December.
    17. Harkaran Kava & Konstantina Spanaki & Thanos Papadopoulos & Stella Despoudi & Oscar Rodriguez-Espindola & Masoud Fakhimi, 2021. "Data Analytics Diffusion in the UK Renewable Energy Sector: An Innovation Perspective," Post-Print hal-03781046, HAL.
    18. Correa, Juan C. & Garzón, Wilmer & Brooker, Phillip & Sakarkar, Gopal & Carranza, Steven A. & Yunado, Leidy & Rincón, Alejandro, 2019. "Evaluation of collaborative consumption of food delivery services through web mining techniques," Journal of Retailing and Consumer Services, Elsevier, vol. 46(C), pages 45-50.
    19. Johannes Habel & Sascha Alavi & Nicolas Heinitz, 2023. "A theory of predictive sales analytics adoption," AMS Review, Springer;Academy of Marketing Science, vol. 13(1), pages 34-54, June.
    20. Ankur Tayal & Saurabh Agrawal & Rajan Yadav, 2024. "Implementation of industry 4.0 in construction industry: a review," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(9), pages 4163-4182, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:infosf:v:25:y:2023:i:6:d:10.1007_s10796-023-10412-7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.