PENGGUNAAN KECERDASAN BUATAN/ARTIFICIAL INTELLIGENT UNTUK AKSES INFORMASI KESEHATAN PRIBADI DI KALANGAN MAHASISWA
DOI:
https://doi.org/10.31004/jkt.v6i4.50163Keywords:
Artificial Intelligence, Health Information, Digital Health Literacy, Students, Data PrivacyAbstract
Kecerdasan Buatan (AI) semakin banyak dimanfaatkan untuk mengakses informasi kesehatan, baik penggunaan pada kegiatan layanan klinis maupun pencarian informasi kesehatan oleh masyarakat. Pemanfaatan kecerdasan buatan (AI) untuk mencari solusi atas permasalahan kesehatan individu, terutama di kalangan mahasiswa bidang kesehatan, menunjukkan peningkatan yang signifikan. Namun, masih terdapat kesenjangan pemahaman terkait literasi kesehatan, keandalan dan akurasi AI, serta kekhawatiran mengenai privasi yang dapat memengaruhi cara mahasiswa mengambil keputusan tanpa keterlibatan tenaga kesehatan.Teknologi ini dapat menjawab tantangan isu kesehatan yang meliputi; kurangnya ketersediaan tenaga medis dan tenaga kesehatan untuk mengakomodir kebutuhan pendidikan kesehatan dan adanya kecenderungan masyarakat terutama usia remaja dan dewasa muda untuk menyampaikan masalah kesehatan pribadi karena berkaitan dengan data privasi. Tujuan penelitian ini adalah untuk mengethaui penggunaan teknologi terkini, khususnya AI dalam menjawab kebutuhan informasi kesehatan tanpa melibatkan tenaga kesehatan. Pelaksaan survei cross-sectional pada mahasiswa jurusan kesehatan (n=29) ini mengeksplorasi jenis AI yang digunakan, topik yang sering ditanyakan, serta persepsi terhadap dukungan AI dalam pemahaman dan pengambilan keputusan. Hasil statistik deskriptif menunjukkan ChatGPT sebagai AI paling banyak digunakan, dan penggunaan terbanyak berikutnya adalah AI yang sudah disediakan oleh platform. Sedangkan topik pencarian kesehatan merupakan aktivitas mayoritas yang dilakukan mahasiswa kesehaatan, dan sebagian kecil mahasiswa menggunakan AI untuk mencari informasi di luar kesehatan. Mahasiswa pada umumnya setuju bahwa AI membantu memahami informasi, mendukung keputusan kesehatan, dan menjaga motivasi, meski kekhawatiran tentang privasi dan akurasi masih ditemukan. Temuan pada penelitian survey ini adalah meningkatnya ketergantungan pada AI dalam manajemen kesehatan pribadi dan perlunya peningkatan transparansi, keamanan, serta literasi kesehatan digital.References
Almalki, M., Sacgaca, L., Pangket, P., et al. (2025). Integration of artificial intelligence in nursing education: A cross-national exploration. BMC Nursing, 24, 1026. https://doi.org/10.1186/s12912-025-03689-3
Al-Olaimat, K., Salameh, B., Alqadi, R. A., Alruwaili, A., Hakami, M., ALanazi, H. H., … Reshia, F. A. A. (2025). Readiness and acceptance of nursing students regarding AI-based health care technology on the training of nursing skills in Saudi Arabia: Cross-sectional study. JMIR Nursing, 8, e71653. https://doi.org/10.2196/71653
Cross, Joshua L., Roberts, Emily M., Thompson, Michael R., & Patel, Nina S. (2024). Bias in medical AI: Implications for clinical decision‑making. Communications Medicine, 4, 56. https://doi.org/10.1038/s43856-022-00214-4
de Oliveira Collet, Guilherme, Silva, Mariana P., Santos, Pedro F., Oliveira, Laura J., Rodrigues, Daniela M., Costa, Bianca R., & Almeida, Rafael T. (2024). Influence of digital health literacy on online health‑related information seeking. BMC Public Health, 24, 19506. https://doi.org/10.1186/s12889-024-19506-6
Haltaufderheide, Joschka, & Ranisch, Robert. (2024). The ethics of ChatGPT in medicine and healthcare: A systematic review on Large Language Models (LLMs). npj Digital Medicine, 7, 183. https://doi.org/10.1038/s41746-024-01157-x
Khan, Muhammad M., Ahmad, Syed, Siddiqui, Fehmida, Rahman, Amir, Malik, Rida, & Abbas, Imran. (2024). Towards secure and trusted AI in healthcare: A systematic review. International Journal of Medical Informatics, 105780. https://doi.org/10.1016/j.ijmedinf.2024.105780
Kurniawan, Muhammad H., Agustin, Amelia R., Wicaksono, Rudi H., Santoso, Deddy A., & Pratama, Bayu C. (2024). Artificial intelligence‑powered chatbots for chronic diseases: A systematic review. JMIR Medical Informatics, 12, eXXXX. PMCID: PMC10930147
Kwak, Y., Ahn, J. W., & Seo, Y. H. (2022). Influence of AI ethics awareness, attitude, anxiety, and self-efficacy on nursing students’ behavioral intentions. BMC Nursing, 21, 267. https://doi.org/10.1186/s12912-022-01048-0
Labrague, L. J., Rosales, A. R., & Yboa, B. C. (2023). Student nurses’ attitudes, perceived utilization, and intention to adopt artificial intelligence (AI) technology in nursing practice: A cross-sectional study. Nurse Education in Practice, 73, 103815. https://doi.org/10.1016/j.nepr.2023.103815
Longoni, C., Bonezzi, A., & Morewedge, C. K. (2020). Resistance to medical artificial intelligence. Journal of Consumer Research, 46(4), 629–650. https://doi.org/10.1093/jcr/ucz013
Laymouna, Meriem, Khelifi, Imène, Bouziane, Salah Eddine, & Bellamine, Mohamed. (2024). Roles, users, benefits, and limitations of chatbots in healthcare: A scoping review. Journal of Medical Internet Research, 26, e56930. https://doi.org/10.2196/56930
Li, Juan, Dada, Ayotunde, Puladi, Balu, Kleesiek, Jens, & Egger, Jan. (2024). ChatGPT in healthcare: A taxonomy and systematic review. Computer Methods and Programs in Biomedicine, 245, 108013. https://doi.org/10.1016/j.cmpb.2024.108013
Mahendradhata, Y., Trisnantoro, L., Listyadewi, S., Soewondo, P., Marthias, T., Harimurti, P., & Prawira, J. (2021). The Republic of Indonesia health system review. Health Systems in Transition, 11(1). WHO Regional Office for the Western Pacific.
Petrič, Gregor, Kokol, Peter, Saranto, Kaija, & Korošec, Polona. (2024). Validation of the extended e‑health literacy scale (eHEALS‑E). BMC Public Health, 24, 19431. https://doi.org/10.1186/s12889-024-19431-8
Reis, Moritz, Reis, Florian, & Kunde, Wilfried. (2024). Influence of believed AI involvement on the perception of digital medical advice. Nature Medicine, 30(11), 3098–3100. https://doi.org/10.1038/s41591-024-03180-7
Singh, Bharti, Marahatta, Kavya, Smith, John D., Lee, Susan H., & Garcia, Maria L. (2023). Systematic review and meta‑analysis of the effectiveness of chatbot interventions on lifestyle behaviours. npj Digital Medicine, 6, 149. https://doi.org/10.1038/s41746-023-00856-1
Syah, N. A., Efendi, F., & Hadisuyatmana, S. (2021). Factors associated with Indonesians’ unwillingness to seek professional help for mental health problems. BMC Psychiatry, 21, 368. https://doi.org/10.1186/s12888-021-03383-3
World Health Organization. (2021). Ethics and governance of artificial intelligence for health. Geneva: World Health Organization. https://www.who.int/publications/i/item/9789240029200
World Health Organization. (2025). Ethics and governance of artificial intelligence for health: Large multi‑modal models. Geneva: World Health Organization. https://www.who.int/publications/i/item/9789240084759
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