IDEAS home Printed from https://ideas.repec.org/a/ddj/fseeai/y2025i3p214-223.html

Smart Cities and Medical Tourism: Leveraging AI in Urban Marketing to Enhance Patient Experience

Author

Listed:
  • Alina Constina Radu

    (Dunarea de Jos University of Galati Romania)

  • Razvan Tiberiu Radu

    (Dunarea de Jos University of Galati Romania)

Abstract

The function of artificial intelligence (AI) in urban marketing tactics that promote medical tourism in smart cities is examined in this study. Cities are using artificial intelligence (AI) more and more to improve patient experience, service delivery, and their global standing as medical destinations as digital technologies change healthcare and urban surroundings. The study integrates a targeted case study on Dubai with a review of the literature on medical tourism, smart cities, and AI-driven marketing. It shows the strategic objective of Dubai, which includes the establishment of Dubai Healthcare City (DHCC) and the HealthStay AI platform, which facilitates tailored communication, global patient outreach, and interaction with the hospitality industry. There is a strong association between AI-enabled marketing and destination success, as evidenced by secondary data showing a notable increase in medical tourism arrivals and healthcare revenues in Dubai between 2020 and 2024. For legislators and municipal planners looking to create patient-centered and financially stable medical tourism ecosystems, the findings provide insightful information.

Suggested Citation

  • Alina Constina Radu & Razvan Tiberiu Radu, 2025. "Smart Cities and Medical Tourism: Leveraging AI in Urban Marketing to Enhance Patient Experience," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 3, pages 214-223.
  • Handle: RePEc:ddj:fseeai:y:2025:i:3:p:214-223
    DOI: https://doi.org/10.35219/eai15840409567
    as

    Download full text from publisher

    File URL: https://eia.feaa.ugal.ro/images/eia/2025_3/Radu_et_al.pdf
    Download Restriction: no

    File URL: https://libkey.io/https://doi.org/10.35219/eai15840409567?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
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:ddj:fseeai:y:2025:i:3:p:214-223. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Gianina Mihai (email available below). General contact details of provider: https://edirc.repec.org/data/fegalro.html .

    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.