KEMAJUAN TEKNOLOGI INFORMASI MENDUKUNG TRANSFORMASI CEPAT LAYANAN MEDIS DAN MENDORONG EKONOMI BERKELANJUTAN
Keywords:
Digitalisasi Kesehatan, Ekonomi Berkelanjutan, Layanan Medis
Abstract
Kemajuan teknologi informasi telah mendorong transformasi signifikan dalam sektor layanan medis, khususnya melalui digitalisasi sistem kesehatan yang meningkatkan efisiensi, aksesibilitas, dan kualitas pelayanan. Penelitian ini bertujuan untuk menganalisis peran teknologi informasi dalam transformasi layanan medis serta implikasinya terhadap ekonomi berkelanjutan. Metode yang digunakan adalah pendekatan kualitatif dengan studi pustaka terhadap berbagai literatur ilmiah yang relevan pada periode 2018–2025. Data dikumpulkan dari jurnal internasional, laporan lembaga, dan publikasi akademik, kemudian dianalisis menggunakan teknik content analysis. Hasil penelitian menunjukkan bahwa teknologi seperti telemedicine, kecerdasan buatan (AI), big data, dan Internet of Things (IoT) mampu meningkatkan akurasi diagnosis, mempercepat proses pelayanan, serta memperluas jangkauan layanan kesehatan, terutama di daerah terpencil. Selain itu, digitalisasi layanan kesehatan berkontribusi terhadap efisiensi biaya operasional, peningkatan produktivitas tenaga kerja, serta mendorong pertumbuhan industri berbasis teknologi kesehatan. Namun, implementasi teknologi masih menghadapi tantangan seperti keterbatasan infrastruktur, keamanan data, dan rendahnya literasi digital. Oleh karena itu, diperlukan dukungan kebijakan, peningkatan kapasitas sumber daya manusia, serta penguatan sistem digital untuk mengoptimalkan manfaat teknologi informasi dalam sektor kesehatan. Penelitian ini menegaskan bahwa integrasi teknologi informasi tidak hanya meningkatkan kualitas layanan medis, tetapi juga berperan penting dalam mendukung pembangunan ekonomi yang berkelanjutan.
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Akri, Y. J., Adelia, D. D., Yunamawan L.S, D., & Irawan, Y. H. (2025). PEMANFAATAN WEARABLE DEVICES DALAM PEMANTAUAN PASIEN DIABETES MELLITUS TIPE 2 DI INDONESIA: SCOPING REVIEW. ASSYIFA : Jurnal Ilmu Kesehatan, 3(3), 277–286. https://doi.org/10.62085/ajk.v3i3.183
Baloch, L., Bazai, S. U., Marjan, S., Aftab, F., Aslam, S., Neo, T.-K., & Amphawan, A. (2023). A Review of Big Data Trends and Challenges in Healthcare. International Journal of Technology, 14(6), 1320. https://doi.org/10.14716/ijtech.v14i6.6643
Bocean, C. G., & Vărzaru, A. A. (2025). Health status in the era of digital transformation and sustainable economic development. BMC Health Services Research, 25(1), 343. https://doi.org/10.1186/s12913-025-12498-y
Chang, W.-H., Chang, M.-C., Chang, M.-H., Chan, Y.-K., & Hsieh, M. Y. (2025). Digital health transformation: An empirical analysis of sustainable healthcare through the various applications of artificial intelligence internet of things technology. DIGITAL HEALTH, 11. https://doi.org/10.1177/20552076251396987
Colombo, S. (2020). Applications of artificial intelligence in drug delivery and pharmaceutical development. In Artificial Intelligence in Healthcare (pp. 85–116). Elsevier. https://doi.org/10.1016/B978-0-12-818438-7.00004-6
Cripps, M., & Scarbrough, H. (2022). Making Digital Health “Solutions” Sustainable in Healthcare Systems: A Practitioner Perspective. Frontiers in Digital Health, 4. https://doi.org/10.3389/fdgth.2022.727421
Erielya Suhermawan, D., & Aktiva Oktariyanda, T. (2025). Efektivitas E-Health Dalam Peningkatan Layanan Publik di Puskesmas Sawahan Kota Surabaya. In Jurnal Penelitian Ilmu-Ilmu Sosial (Vol. 02). https://doi.org/10.5281.zenodo.15614949
Hameed, K., Naha, R., & Hameed, F. (2024). Digital transformation for sustainable health and well-being: a review and future research directions. Discover Sustainability, 5(1), 104. https://doi.org/10.1007/s43621-024-00273-8
Jeilani, A., & Hussein, A. (2025). Impact of digital health technologies adoption on healthcare workers’ performance and workload: perspective with DOI and TOE models. BMC Health Services Research, 25(1), 271. https://doi.org/10.1186/s12913-025-12414-4
Kabashkin, I., Misnevs, B., & Zervina, O. (2023a). Artificial Intelligence in Aviation: New Professionals for New Technologies. Applied Sciences (Switzerland), 13(21). https://doi.org/10.3390/app132111660
Kabashkin, I., Misnevs, B., & Zervina, O. (2023b). Artificial Intelligence in Aviation: New Professionals for New Technologies. Applied Sciences (Switzerland), 13(21). https://doi.org/10.3390/app132111660
Ma, J.-Y., Shi, L., & Kang, T.-W. (2022). The Effect of Digital Transformation on the Pharmaceutical Sustainable Supply Chain Performance: The Mediating Role of Information Sharing and Traceability Using Structural Equation Modeling. Sustainability, 15(1), 649. https://doi.org/10.3390/su15010649
Mauro, M., Noto, G., Prenestini, A., & Sarto, F. (2024). Digital transformation in healthcare: Assessing the role of digital technologies for managerial support processes. Technological Forecasting and Social Change, 209, 123781. https://doi.org/10.1016/j.techfore.2024.123781
Navaz, A. N., Serhani, M. A., El Kassabi, H. T., Al-Qirim, N., & Ismail, H. (2021). Trends, Technologies, and Key Challenges in Smart and Connected Healthcare. IEEE Access, 9, 74044–74067. https://doi.org/10.1109/ACCESS.2021.3079217
Okwor, I. A., Hitch, G., Hakkim, S., Akbar, S., Sookhoo, D., & Kainesie, J. (2024). Digital Technologies Impact on Healthcare Delivery: A Systematic Review of Artificial Intelligence (AI) and Machine-Learning (ML) Adoption, Challenges, and Opportunities. AI, 5(4), 1918–1941. https://doi.org/10.3390/ai5040095
Olu, O., Muneene, D., Bataringaya, J. E., Nahimana, M.-R., Ba, H., Turgeon, Y., Karamagi, H. C., & Dovlo, D. (2019). How Can Digital Health Technologies Contribute to Sustainable Attainment of Universal Health Coverage in Africa? A Perspective. Frontiers in Public Health, 7. https://doi.org/10.3389/fpubh.2019.00341
Prima, A., Gayatri, D., Afiyanti, Y., & Effendy, C. (2025). Remote Patient Monitoring Pada Pasien Kanker: Analisis Konsep. Media Kesehatan Politeknik Kesehatan Makassar, 20(1), 192–206. https://doi.org/10.32382/medkes.v20i1.1424
Radha, S. K., Taylor, I., Nabrzyski, J., & Barclay, I. (2021). Verifiable Badging System for scientific data reproducibility. Blockchain: Research and Applications, 2(2), 100015. https://doi.org/10.1016/j.bcra.2021.100015
Raisch, S., & Krakowski, S. (2021). Artificial Intelligence and Management: The Automation–Augmentation Paradox. Academy of Management Review, 46(1), 192–210. https://doi.org/10.5465/amr.2018.0072
Sengar, S. S., Hasan, A. Bin, Kumar, S., & Carroll, F. (2025). Generative artificial intelligence: a systematic review and applications. Multimedia Tools and Applications, 84(21), 23661–23700. https://doi.org/10.1007/s11042-024-20016-1
Sinaga, E. M. (2025). Analisis Integrasi Big Data dan IoT untuk Meningkatkan Kualitas Layanan Kesehatan Berbasis Teknologi. Data Sciences Indonesia (DSI), 5(1), 137–148. https://doi.org/10.47709/dsi.v5i1.6472
Siswati, S., Syafrawati, Amelia, S., & Khairunnisa, M. (2025). Artificial Intelligence in Digital Health and Learning Transformation. BULETIN ILMIAH NAGARI MEMBANGUN, 8(4), 608–626. https://doi.org/10.25077/bina.v8i4.826
West, L., Mitchell, D., Faulkner, S. D., Bauer, B., Brooke, N., & Priest, E. (2025). Digital Health Technologies: Learnings and Perspectives From a Patient Engagement Stakeholder Expectations Matrix Study. Journal of Medical Internet Research, 27, e81463. https://doi.org/10.2196/81463
Zhafran Zharif, D., Reza Putra Prasetyo, M., Andaru Abyan, M., & Lathif Mardi Suryanto, T. (2024). ETIKA DAN PRIVASI DALAM ERA KECERDASAN BUATAN DI RUMAH SAKIT : SYSTEMATIC LITERATURE REVIEW. JATI (Jurnal Mahasiswa Teknik Informatika), 9(1), 1132–1138. https://doi.org/10.36040/jati.v9i1.12527
Published
2026-05-31
How to Cite
A. M. Alief Akbar, Muh. Tsaqif Hafidz, & Arifah Amaliah Puteri. (2026). KEMAJUAN TEKNOLOGI INFORMASI MENDUKUNG TRANSFORMASI CEPAT LAYANAN MEDIS DAN MENDORONG EKONOMI BERKELANJUTAN. Journal of Social and Economics Research, 8(1), 400-408. https://doi.org/10.54783/jser.v8i1.1451
Section
Articles
