Strategies for Increasing Community Health Communication Capacity in the Artificial Intelligence Era of Primary Health Care Personnel
Keywords:
strategies for increasing, community health communication, artificial intelligence era, primary health care personnelAbstract
Background : Community health communication is an important tool for building public health knowledge, attitudes, and behaviors, especially in the era of AI that requires rapid adaptation. Primary health personnel should therefore enhance their capacity for community health communication by using appropriate development strategies to develop findings that are contextual and tangible.
Objective : To study strategies to enhance community health communication capacity in the era of artificial intelligence.
Material and methods : "Mixed-method research was conducted. Phase 1 focused on studying components and indicators using exploratory factor analysis (EFA) techniques. A total of 320 participants were selected by multi-stage random sampling, using a quality-checked questionnaire, to analyze 32 indicators, with a sample size 10 times that of the indicators. In Phase 2, strategies were developed through informant workshops and subsequently evaluated by experts, focusing on specific strategies to enhance community health communication capabilities in the era of artificial intelligence.
Results : It was found that the Exploratory Factor Analysis (EFA) had five factors and 26 indicators: 1. Super Productive Communication (7 indicators); 2. Human Skills (6 indicators); 3. Creativity & Health Innovation (5 indicators); 4. Digital Health Integration (4 indicators); and 5. AI Ethics (4 indicators). In Phase 2, the developed strategy comprised five strategic issues and 14 strategic proposals, encompassing vision, mission, strategic issues, and strategic proposals. The evaluation results met the specified criteria.
Conclusion : This study answer research objectives and discover new knowledge, namely factors, indicators, and strategies for enhancing community health communication capacity in the AI era of primary health care personnel. It is appropriate to apply it to relevant agencies in the future.
References
เสาวนีย์ มิตตะธรรมากุล. การบริหารจัดการทุนมนุษย์ในยุคปัญญาประดิษฐ์. วารสารสหวิทยาการนวัตกรรมปริทรรศน์. 2567;7(5):406–20.
วสันต์ เกิดสวัสดิ์, สหพัฒน์ หอมจันทร์, กันต์ฐมณีญา นฤโฆษกิตติกีรติ. ปัจจัยสนับสนุนที่มีผลต่อประสิทธิผลในการปฏิบัติงานของเจ้าหน้าที่ในองค์กร ภาครัฐและภาคเอกชนในยุคปัญญาประดิษฐ์. วารสารสังคมศาสตร์เพื่อการพัฒนาท้องถิ่น มหาวิทยาลัยราชภัฏมหาสารคาม. 2568;3(2):31-50.
ศศิพร เหลืองไพฑูรย์, ธีระศักดิ์ เครือแสง, ดวงกมล ทองอยู่, มนฤดี ช่วงฉ่ำ, วรรนิสา หนูช่วย. เทคโนโลยีปัญญาประดิษฐ์กับการพัฒนานวัตกรรมด้านสุขภาพจิตในประเทศไทย. วารสารมหาจุฬานาครทรรศน์. 2568;12(3):210-21.
กวิทธิ์ ศรีสัมฤทธิ์, วิทยาธร ท่อแก้ว. เทคโนโลยีปัญญาประดิษฐ์กับบทบาทการสื่อสารในงานการปกครองท้องถิ่น. วารสารสังคมศาสตร์และวัฒนธรรม. 2567;8(8):200–211.
Davenport, T.; Kalakota, R. The potential for artificial intelligence in healthcare. Future Healthc. J. 2019;6:94–98.
Gupta D, Jai P N, Yadav SJ. Strategic Communication in Health and Development: Concepts, Applications and Programming. J. Health Manag. 2021;23(1):95-108.
Anca-Ioana M. New approaches of the concepts of human resources, human resource management and strategic human resource management. Annals of the University of Oradea, Economic Science Series, 2013;22.(1): 1520-1525.
Verganti R, Vendraminelli L, Iansiti M. Innovation and design in the age of artificial intelligence. J. Prod. Innov. Manag., 2020; 37(3): 212-227.
Hair, J.F., Anderson, R.E., Tatham, R.L., & Black, W.C. Factor analysis. Multivariate data analysis. SanFrancisco: N.J. Prentice-Hall; 1998.p.98-99.
Li M, Jornet JM, Mittleman DM, Han C. Beam Manipulation for Terahertz Communications: A New Quality Productive Force [Internet]. arXiv; 2025 [cited 2025 Apr 9]. Available from: https://arxiv.org/abs/2503.22158
Mncina TC, Letsie H, Nkhi SE, Mofana M. Effective communication in postgraduate supervision: Shaping experiences and overcoming challenges. Interdiscip J Educ Res. 2024;6:1–21.
Cardey S, Eleazar PJM, Ainomugisha J, Kalowekamo M, Vlasenko Y. Communication for Development: Conceptualising Changes in Communication and Inclusive Rural Transformation in the Context of Environmental Change. Soc Sci. 2024.;13(6):324.
AbuMusab S. Generative AI and human labor: who is replaceable? AI Soc. 2024;39(6):3051–3.
Zlateva P, Steshina L, Petukhov I, Velev D. A Conceptual Framework for Solving Ethical Issues in Generative Artificial Intelligence. In: Tallón-Ballesteros AJ, Cortés-Ancos E, López-García DA, editors. Frontiers in Artificial Intelligence and Applications [Internet]. IOS Press; 2024 [cited 2025 Apr 9]. Available from: https://ebooks.iospress.nl/doi/10.3233/FAIA231182
Atchley P, Pannell H, Wofford K, Hopkins M, Atchley RA. Human and AI collaboration in the higher education environment: opportunities and concerns. Cogn Res Princ Implic. 2024;9(1):1–11.
Sawyer RK, Henriksen D. Explaining Creativity: The Science of Human Innovation. Oxford University Press; 2024. p.593
Levander XA, VanDerSchaaf H, Barragán VG, Choxi H, Hoffman A, Morgan E, et al. The Role of Human-Centered Design in Healthcare Innovation: a Digital Health Equity Case Study. J Gen Intern Med. 2024;39(4):690–5.
Hussain A, Umair M, Khan S, Alonazi WB, Almutairi SS, Malik A. Exploring sustainable healthcare: Innovations in health economics, social policy, and management. Heliyon [Internet]. 2024 Jul 15 [cited 2025 Apr 9];10(13). Available from: https://www.cell.com/heliyon/abstract/S2405-8440(24)09217-X19.
Maita KC, Maniaci MJ, Haider CR, Avila FR, Torres-Guzman RA, Borna S, et al. The Impact of Digital Health Solutions on Bridging the Health Care Gap in Rural Areas: A Scoping Review. Perm J. 2024;28(3):130.
Allen B. The Promise of Explainable AI in Digital Health for Precision Medicine: A Systematic Review. J Pers Med. 2024;14(3):277.
Swan EL, Peltier JW, Dahl AJ. Artificial intelligence in healthcare: the value co-creation process and influence of other digital health transformations. J Res Interact Mark. 2023;18(1):109–26.
Kajiwara Y, Kawabata K. AI literacy for ethical use of chatbot: Will students accept AI ethics? Comput Educ Artif Intell. 2024;6:100251.
Arbelaez Ossa L, Lorenzini G, Milford SR, Shaw D, Elger BS, Rost M. Integrating ethics in AI development: a qualitative study. BMC Med Ethics. 2024;25(1):1–11.
Shaw J, Ali J, Atuire CA, Cheah PY, Español AG, Gichoya JW, et al. Research ethics and artificial intelligence for global health: perspectives from the global forum on bioethics in research. BMC Med Ethics. 2024;25(1):1–9.
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