IDEAS home Printed from https://ideas.repec.org/a/mth/bmsmti/v15y2024i2p306-321.html
   My bibliography  Save this article

The Influence of Health Data Spaces, Data Repositories, Data Collectives, Data Natives, and Data Commons on Artificial Intelligence for Clinical Decision-Making Among Physicians

Author

Listed:
  • Thelagavathy Naidu Ramasamy
  • Shathees Baskaran

Abstract

This study investigated the perspectives of physicians regarding the influence of Health Data Spaces, Data Repositories, Data Collectives, Data Natives, and Data Commons on Clinical Decision Making in Malaysian Healthcare. In particular, this study addressed the mediating effect of artificial intelligence (AI) on the relationship between these health data concepts and Clinical Decision Making. A descriptive, analytical, cross-sectional study was conducted in public and private hospitals in Malaysia. The research population entails physicians with experience handling EMR. The sample included 160 participants. The data were collected using a researcher-made questionnaire and analyzed using the SPSS software using descriptive and Pearson Correlation tests). Health Data Spaces, Data Natives, Data Collectives, and Data Commons showed a significant fair correlation with clinical decision-making, while Data Repositories showed a moderate correlation. Additionally, when AI is introduced as a mediator, the correlation coefficients generally increase, indicating a stronger relationship between the health data variables and clinical decision-making. The study emphasizes the importance of policymakers investing in AI-driven platforms for collaboration between healthcare organizations and technology developers, offering crucial insights to empower healthcare providers in leveraging AI for improved patient care, streamlined processes, and enhanced clinical decision-making. This research holds significance in steering the advancement of health data and AI initiatives focused on enhancing patient care and outcomes. It stands out as one of the limited endeavours that investigate the impacts of novel concepts, such as Health Data Spaces and artificial intelligence, on clinical decision-making within the Malaysian healthcare system.

Suggested Citation

  • Thelagavathy Naidu Ramasamy & Shathees Baskaran, 2024. "The Influence of Health Data Spaces, Data Repositories, Data Collectives, Data Natives, and Data Commons on Artificial Intelligence for Clinical Decision-Making Among Physicians," Business Management and Strategy, Macrothink Institute, vol. 15(2), pages 306-321, December.
  • Handle: RePEc:mth:bmsmti:v:15:y:2024:i:2:p:306-321
    as

    Download full text from publisher

    File URL: https://www.macrothink.org/journal/index.php/bms/article/download/22260/17234
    Download Restriction: no

    File URL: https://www.macrothink.org/journal/index.php/bms/article/view/22260
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Marelli, Luca & Stevens, Marthe & Sharon, Tamar & Van Hoyweghen, Ine & Boeckhout, Martin & Colussi, Ilaria & Degelsegger-Márquez, Alexander & El-Sayed, Seliem & Hoeyer, Klaus & van Kessel, Robin & Zaj, 2023. "The European health data space: Too big to succeed?," Health Policy, Elsevier, vol. 135(C).
    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. Lievevrouw, Elisa & Marelli, Luca & Van Hoyweghen, Ine, 2024. "Weaving EU digital health policy into national healthcare practices. The making of a reimbursement standard for digital health technologies in Belgium," Social Science & Medicine, Elsevier, vol. 346(C).

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:mth:bmsmti:v:15:y:2024:i:2:p:306-321. 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: Technical Support Office The email address of this maintainer does not seem to be valid anymore. Please ask Technical Support Office to update the entry or send us the correct address (email available below). General contact details of provider: http://www.macrothink.org/journal/index.php/bms .

    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.