Smart data in healthcare marketing: linking digital transformation to patient behavior and branding
Social Determinants of Health,
Vol. 11 (2025),
1 January 2025
,
Page 1-10
https://doi.org/10.22037/sdh.v11i1.48719
Abstract
Background: This study aimed to identify the key factors Influencing the application of smart technologies to improve patient communication, increase satisfaction, and strengthen brand image within the healthcare system
Methods: This study employed a mixed-methods approach (qualitative–quantitative). In the qualitative phase, semi-structured interviews were conducted with 15 key informants, including hospital managers, digital health marketers, and AI/data specialists. Participants were selected through purposive. Thematic analysis was carried out using Braun and Clarke’s six-step framework. Coding was performed manually, and themes were validated through member checking and peer review. In the quantitative phase, data were collected using a structured questionnaire developed based on the themes identified in the qualitative stage. Path analysis and correlation tests were used to examine the relationships among variables. 200 participants were selected among hospital managers, health marketing specialists, and data analysts working in digital health settings.. Data analysis was conducted using SPSS version 23 and SmartPLS version 3.
Results: Most experts validating the qualitative phase were male (62.5%), aged 30–40 (69%), held a master’s degree (77.5%), and had 5–10 years of experience (73%). Thematic analysis identified customer data analysis and content personalization as key AI-driven components in health marketing. Quantitative findings showed significant positive relationships between AI, advanced marketing, behavioral change, and branding strategies. Path analysis confirmed all hypotheses, with AI indirectly influencing branding via marketing and behavioral shifts. The model showed strong fit (GOF = 0.62) and acceptable reliability and validity.
Conclusion: Integrating AI technologies into healthcare marketing not only improves patient experience but also enhances the branding position of healthcare organizations in competitive environments.
- Artificial Intelligence
- Marketing of Health Services
- Patient Acceptance of Health Care
- Routinely Collected Health Data
How to Cite
References
- Nwabekee US, Abdul-Azeez OY, Agu EE, Ignatius T. Digital transformation in marketing strategies: The role of data analytics and CRM tools. International Journal of Frontline Research in Science and Technology. 2024;3(2):55-72. https://doi.org/10.56355/ijfrst.2024.3.2.0047
- Hue TT, Hung TH. Impact of artificial intelligence on branding: a bibliometric review and future research directions. Humanities and Social Sciences Communications. 2025;12(1):1-11. https://doi.org/10.1057/s41599-025-04488-6
- Swan EL, Peltier JW, Dahl AJ. Artificial intelligence in healthcare: the value co-creation process and influence of other digital health transformations. Journal of Research in Interactive Marketing. 2024;18(1):109-126. https://doi.org/10.1108/JRIM-09-2022-0293
- Figueiredo N, Ferreira BM, Abrantes JL, Martinez LF. The Role of Digital Marketing in Online Shopping: A Bibliometric Analysis for Decoding Consumer Behavior. Journal of Theoretical and Applied Electronic Commerce Research. 2025;20(1):25. https://doi.org/10.3390/jtaer20010025
- Gomes S, Lopes JM, Trancoso T. Customer experience in digital transformation: the influence of intelligent chatbots toward a sustainable market. International Journal of Innovation Science;2025. https://doi.org/10.1108/IJIS-06-2024-0148
- Zaman Fashami R, Haghighinasab M, Seyyedamiri N, Ahadi P. Designing a digital content marketing framework to engage consumers with brands on social Media: A bibliometric review. Journal of Business Management. 2022;14(4):573-601. https://doi.org/10.22059/jibm.2022.338386.4308
- Chaffey D, Ellis-Chadwick F. Digital marketing. Digital Marketing (7th ed.). Pearson Education;2024. https://hisp.htmi.ch/course/view.php?id=525
- Kumar V, Dixit A, Javalgi RG, Dass M, Dass M. Digital transformation of business-to-business marketing: Framework and research agenda. Journal of Business and Industrial Marketing. 2016;31(8):1151-1160.
- Saljoughi RS, Hassani S. Challenges of metaverse technology for the tourism industry. Social Determinants of Health. 2025;11(1):1-9. https://doi.org/10.22037/sdh.v11i1.47138
- Dada SA, Adekola AD. Leveraging digital marketing for health behavior change: A model for engaging patients through pharmacies. International Journal of Science and Technology Research Archive. 2024;7(2): 50-59. https://doi.org/10.53771/ijstra.2024.7.2.0063
- Huang MH, Rust RT. A strategic framework for artificial intelligence in marketing. Journal of the academy of marketing science. 2021;49(1):30-50. https://doi.org/10.1007/s11747-020-00749-9
- Khatri M. How digital marketing along with artificial intelligence is transforming consumer behaviour. International Journal for Research in Applied Science and Engineering Technology. 2021;9(VII):523-527. https://www.ijraset.com/best-journal/how-digital-marketing-with-artificial-intelligence-transforming-consumer-behaviour
- Kitsios F, Kamariotou M. Artificial intelligence and business strategy towards digital transformation: A research agenda. Sustainability. 2021;13(4):2025. https://doi.org/10.3390/su13042025
- Shynkarenko R. Using big data and AI to predict consumer behaviour in e-commerce. Scientific notes of Lviv University of Business and Law. 2025;20(44):115-127. https://nzlubp.org.ua/index.php/journal/article/view/1549
- Vidrih M, Mayahi S. Generative AI-driven storytelling: A new era for marketing. arXiv preprint arXiv;2023. https://doi.org/10.48550/arXiv.2309.09048
- Davenport TH, Ronanki R. Artificial intelligence for the real world. Harvard business review. 2018;96(1):108-116. https://hbr.org/2018/01/artificial-intelligence-for-the-real-world
- Wedel M, Kannan PK. Marketing analytics for data-rich environments. Journal of marketing. 2016;80(6):97-121. https://doi.org/10.1509/jm.15.0413
- Ali Mohamad T, Bastone A, Bernhard F, Schiavone F. How artificial intelligence impacts the competitive position of healthcare organizations. Journal of Organizational Change Management. 2023;36(8):49-70. https://doi.org/10.1108/JOCM-03-2023-0057
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