Artificial Intelligence and Public Relations Synergy in Digital Health Transformation
Strategic Insights and Ethical Considerations
Copyright (c) 2025 Irwansyah
This work is licensed under a Creative Commons Attribution 4.0 International License.
Abstract
Indonesia devised a Digital Health Transformation Strategy Blueprint in 2024. The aim of the blueprint is to use the Indonesian Health Services (IHS) platform data to develop healthcare professionals’ competencies and formulate sound, evidence-based policies. Nevertheless, there has been a failure to recognise the role of public relations (PR) practitioners in facilitating digital and artificial intelligence (AI) adoption in health transformation strategy. This research, therefore, applied a social-technological system of public relations and artificial intelligence to investigate the needs, skills, abilities and competencies of PR practitioners for digital health transformation, emphasising the use of AI in its application and the ethical considerations around that. The study employed a sequential mixed methods approach that involved focus group discussion (FGD) and survey design. It emerges that, among PR qualifications, organisational strategic support, adaptability to AI technologies, ability to design and execute AI data-driven communication campaigns, and analytical skills for AI applications are significant. The study found that autonomy, fairness in accessing personal information, and respect for roles were key ethical issues considered by PR practitioners. As such, this study stresses technical and analytic skills, including ethical concerns, which must be met by PR practitioners supporting digital health transformation.
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References
Adi, A. (Ed.). (2023). Artificial Intelligence in Public Relations and Communications. Cases, Reflections, and Predictions. Quadriga University of Applied Sciences, Quadriga Hochschule Berlin.
AIContentfy (2024). The Impact of AI on Content Accuracy and Reliability. Online: https://aicontentfy.com/en/blog/impact-of-ai-on-content-accuracy-and-reliability
Akbarighatar, P., Pappas, I. & Vassilakopoulou, P. (2023). A Sociotechnical Perspective for Responsible AI Maturity Models: Findings from a Mixed-Method Literature Review. International Journal of Information Management Data Insights, 3(2). Online: https://doi.org/10.1016/j.jjimei.2023.100193
Alavi, M., Visentin, D. C., Thapa, D. K., Hunt, G. E., Watson, R. & Cleary, M. (2020). Chi-square for Model Fit in Confirmatory Factor Analysis. Journal of Advanced Nursing, 76(9), 2209–2211. Online: https://doi.org/10.1111/jan.14399
Aldoory, L. (2001). Making Health Communications Meaningful for Women: Factors that Influence Involvement. Journal of Public Relations Research, 13(2), 163–185. Online: https://doi.org/10.1207/S1532754XJPRR1302_3
Appelbaum, S. H. (1997). Socio-Technical Systems Theory: An Intervention Strategy for Organizational Development. Management Decision, 35(6), 452–463. Online: https://doi.org/10.1108/00251749710173823
Ayinla, B. S., Amoo, O. O., Atadoga, A., Abrahams, T. O., Osasona, F. & Farayola, O. A. (2024). Ethical AI in Practice: Balancing Technological Advancements with Human Values. International Journal of Science and Research Archive, 11(1), 1311–1326. Online: https://doi.org/10.30574/ijsra.2024.11.1.0218
Barbieri, D., Caisl, J., Karu, M., Lanfredi, G., Mollard, B., Peciukonis, V., Pilares La Hoz, M. B., Reingardė, J. & Salanauskaitė, L. (2020). Gender Equality Index 2020. Digitalisation and the Future of Work. European Institute for Gender Equality. Online: https://doi.org/10.2839/79077
Baxter, G. & Sommerville, I. (2011). Socio-Technical Systems: From Design Methods to Systems Engineering. Interacting with Computers, 23(1), 4–17. Online: https://doi.org/10.1016/j.intcom.2010.07.003
Beni, J. A. Y., Radwan, A. F. & Askar, N. A. R. (2025). The Role of Artificial Intelligence in Transforming Public Relations Practices: Insights from the UAE. Journal of Information Systems Engineering and Management, 10(14s), 309–320. Online: https://doi.org/10.52783/jisem.v10i14s.2240
Biswal, S. K. (2020). The Space of Artificial Intelligence in Public Relations: The Way Forward. In A. J. Kulkarni & S. C. Satapathy (Eds.), Optimization in Machine Learning and Applications. Algorithms for Intelligent Systems (pp. 169–176). Springer. Online: https://doi.org/10.1007/978-981-15-0994-0_11
Bouderhem, R. (2024). Shaping the Future of AI in Healthcare through Ethics and Governance. Humanities and Social Sciences Communications, 11. Online: https://doi.org/10.1057/s41599-024-02894-w
Bowen, S. A. (2004a). Expansion of Ethics as the Tenth Generic Principle of Public Relations Excellence: A Kantian Theory and Model for Managing Ethical Issues. Journal of Public Relations Research, 16(1), 65–92. Online: https://doi.org/10.1207/s1532754xjprr1601_3
Bowen, S. A. (2004b). Organizational Factors Encouraging Ethical Decision Making: An Exploration into the Case of an Exemplar. Journal of Business Ethics, 52(4), 311–324. Online: https://doi.org/10.1007/s10551-004-1527-4
Bowen, S. A. (2013). Using Classic Social Media Cases to Distill Ethical Guidelines for Digital Engagement. Journal of Mass Media Ethics: Exploring Questions of Media Morality, 28(2), 119–133. Online: https://doi.org/10.1080/08900523.2013.793523
Brougham, D. & Haar, J. (2018). Smart Technology, Artificial Intelligence, Robotics, and Algorithms (STARA): Employees’ Perceptions of Our Future Workplace. Journal of Management and Organization, 24(2), 239–257. Online: https://doi.org/10.1017/jmo.2016.55
Buchanan, E. M., Valentine, K. D. & Schulenberg, S. E. (2014). Exploratory and Confirmatory Factor Analysis: Developing the Purpose in Life Test–Short Form. SAGE. https://doi.org/10.4135/978144627305013517794
Büscher, C. (2022). The Problem of Observing Sociotechnical Entities in Social Science and Humanities Energy Transition Research. Frontiers in Sociology, 6. Online: https://doi.org/10.3389/fsoc.2021.699362
Buttle, F. (1989). The Social Construction of Needs. Psychology & Marketing, 6(3), 197–210. Online: https://doi.org/10.1002/mar.4220060304
Carter, S. M., Rogers, W., Win, K. T., Frazer, H., Richards, B. & Houssami, N. (2020). The Ethical, Legal and Social Implications of Using Artificial Intelligence Systems in Breast Cancer Care. The Breast, 49, 25–32. Online: https://doi.org/10.1016/j.breast.2019.10.001
Christensen, E. & Andersson, R. (2025). To Hasten Slowly: The Prudence of Slow AI Implementation in Public Relations. Public Relations Review, 51(2). Online: https://doi.org/10.1016/j.pubrev.2025.102557
Cirillo, D., Catuara-Solarz, S., Morey, C., Guney, E., Subirats, L., Mellino, S., Gigante, A., Valencia, A., Rementeria, M. J., Chadha, A. S. & Mavridis, N. (2020). Sex and Gender Differences and Biases in Artificial Intelligence for Biomedicine and Healthcare. Npj Digital Medicine, 3(1). Online: https://doi.org/10.1038/s41746-020-0288-5
Cusnir, C. & Nicola, A. (2024). Using Generative Artificial Intelligence Tools in Public Relations: Ethical Concerns and the Impact on the Profession in the Romanian Context. Communication and Society, 37(4), 309–323. Online: https://doi.org/10.15581/003.37.4.309-323
Davenport, T. H. & Ronanki, R. (2018). Intelligence for the Real World. Harvard Business Review, 96(1), 108–116.
Davies, S. (2024). PR and AI. How Artificial Intelligence Will Impact Public Relations. Thumos. Online: https://thumos.uk/pr-and-ai/
Dhirani, L. L., Mukhtiar, N., Chowdhry, B. S. & Newe, T. (2023). Ethical Dilemmas and Privacy Issues in Emerging Technologies: A Review. Sensors, 23(3). Online: https://doi.org/10.3390/s23031151
DiMaggio, P. & Hargittai, E. (2001). From the “Digital Divide” to “Digital Inequality”: Studying Internet Use as Penetration Increases. Princeton Center for Arts and Cultural Policy Studies, Working Paper, 15.
Dobreva, T. (2023). Shedding Light on the Helper in the Shadows. In A. Adi (Ed.), Artificial Intelligence in Public Relations and Communications: Cases, Reflections and Predictions (pp. 51–62). Quadriga University of Applied Sciences, Quadriga Hochschule Berlin.
Elendu, C., Amaechi, D. C., Elendu, T. C., Jingwa, K. A., Okoye, O. K., John Okah, M., Ladele, J. A., Farah, A. H. & Alimi, H. A. (2023). Ethical Implications of AI and Robotics in Healthcare: A Review. Medicine, 102(50). Online: https://doi.org/10.1097/MD.0000000000036671
Emerson, R. W. (2019). Cronbach’s Alpha Explained. Journal of Visual Impairment and Blindness, 113(3), 327. Online: https://doi.org/10.1177/0145482X19858866
Emery, F. E. (1959). Characteristics of Socio-Technical Systems: A Critical Review of Theories and Facts about the Effects of Technological Change on the Internal Structure of Work Organisations with Special Reference to the Effects of Higher Mechanisation and Automation. Tavistock Institute of Human Relations, Human Resources Centre.
Esmaeilzadeh, P. (2020). Use of AI-based Tools for Healthcare Purposes: A Survey Study from Consumers’ Perspectives. BMC Medical Informatics and Decision Making, 20(1). Online: https://doi.org/10.1186/s12911-020-01191-1
Fan, W. & Gordon, M. D. (2014). The Power of Social Media Analytics. Communications of the ACM, 57(6), 74–81. Online: https://doi.org/10.1145/2602574
Fetters, M. D., Curry, L. A. & Creswell, J. W. (2013). Achieving Integration in Mixed Methods Designs – Principles and Practices. Health Services Research, 48(6 Part2), 2134–2156. Online: https://doi.org/10.1111/1475-6773.12117
Frey, C. B. & Osborne, M. A. (2017). The Future of Employment: How Susceptible Are Jobs to Computerisation? Technological Forecasting and Social Change, 114, 254–280. Online: https://doi.org/10.1016/j.techfore.2016.08.019
Gilbert, G. E. & Prion, S. (2016). Making Sense of Methods and Measurement: Lawshe’s Content Validity Index. Clinical Simulation in Nursing, 12(12), 530–531. Online: https://doi.org/10.1016/j.ecns.2016.08.002
Green, N. (2025, April 2). Healthcare Public Relations (in 2025): Your Complete Guide. Prezly Academy. Online: https://www.prezly.com/academy/healthcare-public-relations
Grote, T. & Berens, P. (2020). On the Ethics of Algorithmic Decision-Making in Healthcare. Journal of Medical Ethics, 46(3), 205–211. Online: https://doi.org/10.1136/medethics-2019-105586
Grunig, J. E. (2011). Public Relations and Strategic Management: Institutionalizing Organization–Public Relationships in Contemporary Society. Central European Journal of Communication, 4, 11–31.
Grunig, J. E. (2014). Ethics Problems and Theories in Public Relations. Communiquer, Revue Internationale de Communication Sociale et Publique, 11, 1–14. Online: https://doi.org/10.4000/communiquer.559
Henke, J. (2024). Navigating the AI Era: University Communication Strategies and Perspectives on Generative AI Tools. Journal of Science Communication, 23(3). Online: https://doi.org/10.22323/2.23030205
Herrmann, T. & Pfeiffer, S. (2023). Keeping the Organization in the Loop: A Socio-Technical Extension of Human-Centered Artificial Intelligence. AI and Society, 38(4), 1523–1542. Online: https://doi.org/10.1007/s00146-022-01391-5
Huang, M. H. & Rust, R. T. (2018). Artificial Intelligence in Service. Journal of Service Research, 21(2), 155–172. Online: https://doi.org/10.1177/1094670517752459
Irwansyah, I. (2024). Data Set for AI in Health PR. Online: https://doi.org/10.5281/zenodo.13119865
Ishak (2023). Menavigasi Ekosistem Kesehatan Digital Indonesia: Peluang Bisnis dan Kolaborasi. Digital Transformation Indonesia. Online: https://digitaltransformation.co.id/menavigasi-ekosistem-kesehatandigital-indonesia-peluang-bisnis-dan-kolaborasi/
Kant, I. (1987). The Critique of Judgment. Trans. W. S. Pluhar. Hackett Publishing.
Kant, I. (1997). Groundwork of the Metaphysics of Morals. Trans. M. Gregor. Cambridge University Press. Online: https://cpb-us-w2.wpmucdn.com/blog.nus.edu.sg/dist/c/1868/files/2012/12/Kant-Groundworkng0pby.pdf
Kant, I. (2015). Critique of Practical Reason. Trans. M. Gregor. Cambridge University Press. Online: https://doi.org/10.1017/CBO9781316136478
Kim, N. & Yang, S. (2023). Conceptually Related Smart Cities Services from the Perspectives of Governance and Sociotechnical Systems in Europe. Systems, 11(4). Online: https://doi.org/10.3390/systems11040166
Klewes, J., Popp, D. & Rost-Hein, M. (2017). Digital Transformation and Communications: How Key Trends Will Transform the Way Companies Communicate. In J. Klewes, D. Popp & M. Rost-Hein (Eds.), Out-thinking Organizational Communications. The Impact of Digital Transformation (pp. 7–31). Springer. Online: https://doi.org/10.1007/978-3-319-41845-2_2
Kotter, J. P. (1995). Leading Change: Why Transformation Efforts Fail. Compelling Lessons from the Mistakes Companies Have Made Trying to Implement Change. Harvard Business Review Magazine, May–June 1995. Online: https://hbr.org/1995/05/leading-change-why-transformation-efforts-fail-2
Kull, T. J., Ellis, S. C. & Narasimhan, R. (2013). Reducing Behavioral Constraints to Supplier Integration: A Socio-Technical Systems Perspective. Journal of Supply Chain Management, 49(1), 64–86. Online: https://doi.org/10.1111/jscm.12002
Kumar, S. & Choudhury, S. (2022). Gender and Feminist Considerations in Artificial Intelligence from a Developing-World Perspective, with India as a Case Study. Humanities and Social Sciences Communications, 9(1). Online: https://doi.org/10.1057/s41599-022-01043-5
Kumar, V., Ashraf, A. R. & Nadeem, W. (2024). AI-Powered Marketing: What, Where, and How? International Journal of Information Management, 77. Online: https://doi.org/10.1016/j.ijinfomgt.2024.102783
Latif, E., Zhai, X. & Liu, L. (2023). AI Gender Bias, Disparities, and Fairness: Does Training Data Matter? Proceedings of ACM Conference (Conference’17). Association for Computing Machinery.
La Voie Health Science (2024). Pros and Cons of AI in Health and Science Public Relations & Investor Relations. Online: https://lavoiehealthscience.com/pros-and-cons-of-ai-in-health-and-science-public-relationsinvestor-relations-2/
Lim, S. & Schmälzle, R. (2023). Artificial Intelligence for Health Message Generation: An Empirical Study Using a Large Language Model (LLM) and Prompt Engineering. Frontiers in Communication, 8. Online: https://doi.org/10.3389/fcomm.2023.1129082
Lipschultz, J. H., Freberg, K. & Luttrell, R. (Eds.). (2022). The Emerald Handbook of Computer-Mediated Communication and Social Media. Emerald Publishing. Online: https://doi.org/10.1108/9781800715974
Makarius, E. E., Mukherjee, D., Fox, J. D. & Fox, A. K. (2020). Rising with the Machines: A Sociotechnical Framework for Bringing Artificial Intelligence into the Organization. Journal of Business Research, 120, 262–273. Online: https://doi.org/10.1016/j.jbusres.2020.07.045
Markauskaite, L., Marrone, R., Poquet, O., Knight, S., Martinez-Maldonado, R., Howard, S., Tondeur, J., De Laat, M., Buckingham Shum, S., Gašević, D. & Siemens, G. (2022). Rethinking the Entwinement between Artificial Intelligence and Human Learning: What Capabilities Do Learners Need for a World with AI? Computers and Education: Artificial Intelligence, 3. Online: https://doi.org/10.1016/j.caeai.2022.100056
Mazur, K. & Bennett, J. (2008). Using Focus Groups to Design a Choice Modelling Questionnaire for Estimating Natural Resource Management Benefits in NSW. Online: https://doi.org/10.22004/ag.econ.94801
Meng, J., Cacciatore, M. A., Gower, K. K., Reber, B. H. & Zerfass, A. (2024). Exploring Generative AI and CommTech, Diversity and Empathic Leadership in Communications. The Plank Center for Leadership in Public Relations.
Mennella, C., Maniscalco, U., De Pietro, G. & Esposito, M. (2024). Ethical and Regulatory Challenges of AI Technologies in Healthcare: A Narrative Review. Heliyon, 10(4). Online: https://doi.org/10.1016/j.heliyon.2024.e26297
Meyer, K. (2023, May 4). AI-Powered Tools: What Do Public Relations Pros Need to Know? Business Wire. Online: https://blog.businesswire.com/ai-powered-tools-what-do-pr-pros-need-to-know
Mills, A., Bali, M. & Eaton, L. (2023). How Do We Respond to Generative AI in Education? Open Educational Practices Give Us a Framework for an Ongoing Process. Journal of Applied Learning and Teaching, 6(1), 16–30. Online: https://doi.org/10.37074/jalt.2023.6.1.34
Ministry of Health of the Republic of Indonesia (2021). Blueprint for Digital Health Transformation Strategy 2024. Online: https://extranet.who.int/countryplanningcycles/sites/default/files/public_file_rep/IDN_Indonesia_Digital-Health-Transformation-Strategy_2024.pdf
Moiseeva, T. & Myatishkin, Y. (2021). Innovative Development of Socio-Technical Systems. SHS Web of Conferences, 101. Online: https://doi.org/10.1051/shsconf/202110102022
Morandini, S., Fraboni, F., De Angelis, M., Puzzo, G., Giusino, D. & Pietrantoni, L. (2023). The Impact of Artificial Intelligence on Workers’ Skill: Upskilling and Reskilling in Organisation. Informing Science: The International Journal of an Emerging Transdiscipline, 26, 39–68. Online: https://doi.org/10.28945/5078
Morley, J., Floridi, L., Kinsey, L. & Elhalal, A. (2020). From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices. Science and Engineering Ethics, 26(4), 2141–2168. Online: https://doi.org/10.1007/s11948-019-00165-5
Morrow, D. G. & Fischer, U. M. (2013). Communication in Socio-Technical Systems. In J. D. Lee & A. Kirlik (Eds.), The Oxford Handbook of Cognitive Engineering (pp. 178–199). Oxford University Press. Online: https://doi.org/10.1093/oxfordhb/9780199757183.013.0011
Mourelatos, E., Zervas, P., Lagios, D. & Tzimas, G. (2024). Can AI Bridge the Gender Gap in Competitiveness? GLO Discussion Paper, (1404).
Nagarajan, R. & Prabhu, R. (2015). Competence and Capability – A New Look. International Journal of Management, 6(6), 8–12.
Naik, N., Hameed, B. M. Z., Shetty, D. K., Swain, D., Shah, M., Paul, R., Aggarwal, K., Brahim, S., Patil, V., Smriti, K., Shetty, S., Rai, B. P., Chlosta, P. & Somani, B. K. (2022). Legal and Ethical Consideration in Artificial Intelligence in Healthcare: Who Takes Responsibility? Frontiers in Surgery, 9. Online: https://doi.org/10.3389/fsurg.2022.862322
Nurgaliyeva, S. (2023). System Theory in Mass Media and Public Relations. Proceedings of the 14th International Scientific and Practical Conference “Scientific Research in XXI Century,” 162, 29–39.
Ofosu-Ampong, K. (2023). Gender Differences in Perception of Artificial Intelligence-Based Tools. Journal of Digital Art & Humanities, 4(2), 52–57. Online: https://doi.org/10.33847/2712-8149.4.2_6
Oh, J. & Ki, E. J. (2024). Can We Build a Relationship Through Artificial Intelligence (AI)? Understanding the Impact of AI on Organization–Public Relationships. Public Relations Review, 50(4). Online: https://doi.org/10.1016/j.pubrev.2024.102469
Oluwafemidiakhoa (2023, December 17). The Impact of AI on Education, Healthcare, and Communication: Exploring the Benefits, Challenges, and Future Possibilities. Medium. Online: https://oluwafemidiakhoa.medium.com/the-impact-of-ai-on-education-healthcare-and-communication-exploring-thebenefits-challenges-c0fe27cf56c0
Orissa International & Intralink Limited (2025, January 13). Opportunities in Indonesia: Trade report for the Ministry of Foreign Affairs of the Republic of Estonia – Focus sector: HealthTech (report prepared for the Ministry of Foreign Affairs of the Republic of Estonia). Ministry of Foreign Affairs of the Republic of Estonia. Online: https://vm.ee/sites/default/files/documents/2025-03/Indonesia_Strategy_HealthTech.pdf
Pal, N. (2024, March 20). Skyrocket Your PR Game With AI: Top 5 Benefits for Growth. Emeritus. Online: https://emeritus.org/blog/how-to-do-pr-with-ai/
Perifanis, N. A. & Kitsios, F. (2023). Investigating the Influence of Artificial Intelligence on Business Value in the Digital Era of Strategy: A Literature Review. Information, 14(2). Online: https://doi.org/10.3390/info14020085
Place, K. R. (2010). A Qualitative Examination of Public Relations Practitioner Ethical Decision Making and the Deontological Theory of Ethical Issues Management. Journal of Mass Media Ethics: Exploring Questions of Media Morality, 25(3), 226–245. Online: https://doi.org/10.1080/08900523.2010.497405
PR Council (2023). PR Council Guidelines on Generative AI. Online: https://prcouncil.net/wp-content/uploads/2023/04/PR-Council-Guidelines-on-Generative-AI-042423.pdf
Public Relations Society of America (2023). The Ethical Use of AI for Public Relations Practitioners. Online: https://www.prsa.org/docs/default-source/about/ethics/ethicaluseofai.pdf
Ransbotham, S., Kiron, D., Gerbert, P. & Reeves, M. (2017, September 6). Reshaping Business with Artificial Intelligence. MIT Sloan Management Review – The Boston Consulting Group. Online: https://sloanreview.mit.edu/projects/reshaping-business-with-artificial-intelligence/
Robert, S. (2023). What is the Role of Big Data in Public Relations? A Comprehensive Guide. Online: https://www.theknowledgeacademy.com/blog/big-data-in-public-relations/
Rodrigues, M., Fernández-Macías, E. & Sostero, M. (2021). A Unified Conceptual Framework of Tasks, Skills and Competences. European Commission, JRC Working Papers Series on Labour, Education and Technology, No. 2021/02.
Rodsevich, M. (2023). PR and AI: 21 Ways Artificial Intelligence Is Changing the PR Game. Online: https://prlab.co/blog/uses-of-ai-in-public-relations/
Ross, W. D. (2002). The Right and the Good. Oxford University Press.
Roth, K. & Farahmand, K. (2023). A Study of Current Socio-Technical Design Practices in the Industry 4.0 Context among Small, Medium, and Large Manufacturers in Minnesota and North Dakota. Sustainability, 15(23). Online: https://doi.org/10.3390/su152316438
Shah, R. & Borkakoty, K. (2023, June 11). The Transformative Impact of AI in Communication. Sprinklr. Online: https://www.sprinklr.com/blog/ai-in-communications/
SSG (2023, December 22). Understanding the Impact of Data Analytics in Public Health on Decision-Making Processes. Strategic Solutions Group. Online: https://www.ssg-llc.com/the-role-of-data-analytics-inrevolutionizing-public-health/
Tavakol, M. & Dennick, R. (2011). Making Sense of Cronbach’s Alpha. International Journal of Medical Education, 2, 53–55. Online: https://doi.org/10.5116/ijme.4dfb.8dfd
Thomas, A. (2024). Digitally Transforming the Organization through Knowledge Management: A Socio-Technical System (STS) Perspective. European Journal of Innovation Management, 27(9), 437–460. Online: https://doi.org/10.1108/EJIM-02-2024-0114
Tseng, P. & Wang, Y. (2021). Deontological or Utilitarian? An Eternal Ethical Dilemma in Outbreak. International Journal of Environmental Research and Public Health, 18. Online: https://doi.org/10.3390/ijerph18168565
Ulgen, O. (2017). Kantian Ethics in the Age of Artificial Intelligence and Robotics. Questions of International Law, 43, 59–83.
Van Dijck, J., Poell, T. & de Waal, M. (2018). The Platform Society. Public Values in a Connective World. Oxford University Press. Online: https://doi.org/10.1093/oso/9780190889760.001.0001
Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Qi Dong, J., Fabian, N. & Haenlein, M. (2021). Digital Transformation: A Multidisciplinary Reflection and Research Agenda. Journal of Business Research, 122, 889–901. Online: https://doi.org/10.1016/j.jbusres.2019.09.022
Wang, J., Xing, Z. & Zhang, R. (2023). AI Technology Application and Employee Responsibility. Humanities and Social Sciences Communications, 10(1). Online: https://doi.org/10.1057/s41599-023-01843-3
Weldon, C. (2024, August 8). How PR Skills Can Enhance Healthcare Experience for Patients. Online: https://www.prdaily.com/how-pr-skills-can-enhance-healthcare-experience-for-patients/
West, D. M. & Allen, J. R. (2018, April 24). How Artificial Intelligence Is Transforming the World. Brookings. Online: https://www.brookings.edu/articles/how-artificial-intelligence-is-transforming-the-world/
Widyawati (2022). Kemenkes Mulai Uji Coba Platform Indonesia Health Service. Online: https://sehatnegeriku.kemkes.go.id/baca/rilis-media/20220425/5639721/kemenkes-mulai-uji-coba-platformindonesia-health-service/
Wong, L. P. (2008). Focus Group Discussion: A Tool for Health and Medical Research. Singapore Medical Journal, 49(3), 256–261.
World Health Organization (2023). Regulatory Considerations on Artificial Intelligence for Health. Online: https://iris.who.int/bitstream/handle/10665/373421/9789240078871-eng.pdf
World Health Organization (2024). Ethics and Governance of Artificial Intelligence for Health: Guidance on Large Multi-Modal Models. Online: https://iris.who.int/bitstream/handle/10665/375579/9789240084759-eng.pdf
Wuersch, L., Neher, A. & Peter, M. K. (2023). Digital Internal Communication: An Interplay of Socio-Technical Elements. International Journal of Management Reviews, 25(3), 614–639. Online: https://doi.org/10.1111/ijmr.12323
Yaakop, N., Koh, D. & Yasin, R. M. (2023). A Content Validation of Focus Group Discussions Based on Need Analysis in a Physical Education Training Module for Primary School Teachers. Retos, 50, 1115–1122. Online: https://doi.org/10.47197/retos.v50.100191
Yelne, S., Chaudhary, M., Dod, K., Sayyad, A. & Sharma, R. (2023). Harnessing the Power of AI: A Comprehensive Review of Its Impact and Challenges in Nursing Science and Healthcare. Cureus, 15(11). Online: https://doi.org/10.7759/cureus.49252
Zararsiz, Ö. F. (2024). Artificial Intelligence in Public Relations: Potential Benefits and Drawbacks. Yeni Medya Dergisi, 16, 354–368. Online: https://doi.org/10.55609/yenimedya.1433074
Zhou, H. (2023). Research on the Development of University Libraries in the Era of Artificial Intelligence (AI). The Frontiers of Society, Science and Technology, 5(7), 109–113. Online: https://doi.org/10.25236/fsst.2023.050719
Zirar, A., Ali, S. I. & Islam, N. (2023). Worker and Workplace Artificial Intelligence (AI) Coexistence: Emerging Themes and Research Agenda. Technovation, 124. Online: https://doi.org/10.1016/j.technovation.2023.102747
