Digital Transformation of Health Services in Indonesia Through the Utilization of Artificial Intelligence, Big Data, and Telemedicine: Systematic Literature Review-VOSviewer
DOI:
https://doi.org/10.62951/icistech.v5i1.270Keywords:
Artificial Intelligence, Big Data, Digital Transformation, TelemedicineAbstract
Indonesia's healthcare system continues to face significant challenges in delivering equitable services across diverse and remote regions. The digital transformation of healthcare—through the integration of Artificial Intelligence (AI), big data, and telemedicine—offers promising solutions to overcome disparities in access, infrastructure, and service delivery. This study aims to comprehensively analyze global and national research trends related to the digital transformation of healthcare using a Systematic Literature Review (SLR) approach, supported by bibliometric analysis through the VOSviewer software. Following the PRISMA protocol, a total of 30 relevant articles published between 2020 and 2025 were identified and analyzed. The network and overlay visualizations generated reveal four major thematic clusters: digital transformation and service quality, big data and pandemic response, AI and data privacy, and community engagement in digital health services. Overlay visualization also shows a clear shift in research focus—from early pandemic responses toward system optimization, ethical governance, and technological inclusivity in recent years. The study concludes that the integration of AI, big data, and telemedicine not only enhances healthcare efficiency but also requires strong regulatory frameworks, infrastructure readiness, and public engagement. Future research should incorporate co-citation and cross-country comparative analyses to enrich the understanding of digital health transformation in a global context.
References
Abdillah, M. F. (2024). Revolusi Digital Kesehatan: Meningkatkan Layanan Dengan Kecerdasan Buatan. Journal of Syntax Literate, 9(10).
Abdillah, R. P. A., Nabilah, H., & Wasir, R. (2024). Teknologi dan inovasi dalam manajemen SDM kesehatan: Meningkatkan efisiensi melalui digital. Indonesian Journal of Health Science, 4(6s), 840–847.
Adha, F. R., Sahria, Y., Febriarini, N. I., Fauziah, R. N., Sa’adah, W., & Hidayati, A. (2023). Analisis Literatur Sistem Informasi Kesehatan (SIK): Tren, Tantangan, dan Manfaat dalam Peningkatan Pelayanan Kesehatan di Indonesia. In Prosiding Seminar Nasional UNIMUS.
Ahmadi, S., & Wening, N. (2025). The Role of Artificial Intelligence for Medical Professionals in Indonesia: A Systematic Literature Review. Journal of Social Science (JoSS), 4(4), 204–213.
Aisyah, D. N., Hatta, M., Indriani, F., Susanto, H., Siregar, N., Setiawan, E., Suparman, R., Wahyudi, I., & Handiyani, H. (2023). The use of digital technology for COVID-19 detection and response management in Indonesia: mixed methods study. Interact J Med Res, 12(1), e41308.
Andae, B. D., Argie, D., Viryadi, M. Y., Pramesuari, F. D., & Tuda, J. S. B. (2024). Telemedisin di Indonesia: Antara Regulasi dan Pelaksanaan. Proceeding Masyarakat Hukum Kesehatan Indonesia, 1(01), 82–89.
Bartolini, M., Bottani, E., & Grosse, E. H. (2019). Green warehousing: Systematic literature review and bibliometric analysis. J Clean Prod, 226, 242–258.
BPPT. (2020). Strategi Nasional Kecerdasan Artifisial Indonesia Tahun 2020-2045. Jakarta.
Dameria, K., & Jane, O. (2025). Konteks Transformasi Digital di Sektor Usaha Kesehatan. AKADEMIK: Jurnal Mahasiswa Ekonomi & Bisnis, 5(1), 75–87.
Gates, J. D., Yulianti, Y., & Pangilinan, G. A. (2024). Big Data Analytics for Predictive Insights in Healthcare. International Transactions on Artificial Intelligence (ITALIC), 3(1), 54–63. https://doi.org/10.33050/italic.v3i1.622
Hensmit, V. R., Simanjuntak, W. E., Purwadhi, P., & Widjaja, Y. R. (2024). Tinjauan Literatur: Telemedika Sebagai Strategi Pelayanan Kesehatan di Masa Pandemi dan Pasca Pandemi. Journal of Innovation Research and Knowledge, 4(4), 2297–2304.
Huang, C., Yang, C., Wang, S., Wu, W., Su, J., & Liang, C. (2020). Evolution of topics in education research: A systematic review using bibliometric analysis. Educ Rev (Birm), 72(3), 281–297.
Intani, A. A., & Annisa, F. (2024). Legal Analysis of Artificial Intelligence Technology Development in Healthcare Industry in Indonesia. South-East Asian Journal of Advanced Law and Governance (SEAJ ALGOV), 1(1), 1–19.
Komalasari, R. (2022). Pemanfaatan Kecerdasan Buatan (Ai) Dalam Telemedicine: Dari Perspektif Profesional Kesehatan. Jurnal Kedokteran Mulawarman, 9(2), 72–81.
Kusuma, F. I. S., & Hermawan, S. (2020). Examining on Indonesian Legal Challenges for Future Transnational Healthcare Service. Sci Med (Phila), 66, 2145–2156.
Kusumo, H., Marlina, D., & Solechan, A. (2025). Sustainable Digital Transformation in Healthcare: Challenges and Directions in the Society 5.0 Era. Advance Sustainable Science Engineering and Technology, 7(1), 250113.
Laksono, S., & Darmawan, E. S. (2021). The new leadership paradigm in digital health and its relations to hospital services. Jurnal Ilmu Kesehatan Masyarakat, 12(2), 89–103.
Lobho, K. E. T., Tanu, L. S. N., Ika, H., Luni, D., & Sula, Y. I. (2024). Peran Digitalisasi dalam Penanggulangan Stunting: Solusi Inovatif untuk Generasi Sehat. Indonesian Research Journal on Education, 4(2), 1152–1161.
Lukito, M., & Gani, A. (2024). Pelayanan Kesehatan Yang Efisien Dan Terjangkau Melalui Transformasi Kesehatan Digital Via Telemedicine Di Indonesia. Jurnal Kesehatan: Jurnal Ilmiah Multi Sciences, 14(2), 107–117.
Mamesah, N. F. H., Andiansyah, L., & Yusuf, H. (2025). Strategi Idi Dalam Menghadapi Tantangan Di Era 5.0. Jurnal Intelek Insan Cendikia, 2(1), 684–694.
Maspul, K. A., & Putri, N. K. (2025). Big Data and Predictive Analytics for Indonesia’s Economic Transformation and Digital Resilience. Journal of Technology and System Information, 2(2), 22.
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, L. J., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, J., … Moher, D. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71
Pitaloka, A. A., & Nugroho, A. P. (2021). Digital transformation in Indonesia health care services: social, ethical and legal issues. J. STI Policy Manag, 6(1), 51–66.
Pongtambing, Y. S., & Sampetoding, E. A. M. (2023). Transformasi digital pada layanan kesehatan berkelanjutan di Indonesia. SainsTech Innovation Journal, 6(2), 412–420.
Primasatya, S. (2024). Perlindungan Terhadap Perkembangan Layanan Kesehatan Berbasis Kecerdasan Buatan (Artificial Intelligence) Di Indonesia: Protection Regarding The Development Of Artificial Intelligence-Based Health Service Technology In Indonesia. Jurnal Globalisasi Hukum, 1(1), 78–93.
Putra, D. K. (2024). Pengembangan Aplikasi Berbasis Mobile untuk Peningkatan Layanan Kesehatan. Circle Archive, 1(6).
Rerey, H. V., Syauki, A. Y., Waqqosh, A., Limijadi, E. K. S., & Ruhana, F. (2023). Economic and management strategies for optimizing healthcare services: A case study on telemedicine in Indonesia. Jurnal Aisyah: Jurnal Ilmu Kesehatan, 8(3).
Roswita, R., & Nurhayati, N. (2024). Efektifitas Telenursing Dalam Pemantauan Tekanan Darah Pada Pasien Dengan Hipertensi: Literature Review. Jurnal Skala Kesehatan, 15(1), 26–32.
Santoso, F. S., Ramadhani, P. A., Amnamuchlisah, D., & Purba, S. H. (2025). Transformasi Digital Dalam Sektor Kesehatan Kajian Literatur Untuk Mendukung Inovasi dan Efisiensi Layanan Kesehatan. Cindoku: Jurnal Keperawatan dan Ilmu Kesehatan, 2(1), 1–12.
Santoso, I., Supriyadi, R., & Utami, W. (2025). The Role of Artificial Intelligence in Indonesia’s Digital Transformation: Challenges and Opportunities in 2024. AlgoVista: Journal of AI and Computer Science, 2(2), 1–6.
Saragih, E., Paramarta, V., Thungari, G. I., Kalangi, B., & Putri, K. M. (2023). Era Disrupsi Digital pada Perkembangan Teknologi di Indonesia. Transformasi: Journal of Economics and Business Management, 2(4), 141–149.
Sebastian, R. (2024). The Role of Artificial Intelligence in Telemedicine: Legal Considerations under Indonesian Health Laws. Devotion: Journal of Research and Community Service, 5(12), 1558–1568.
Sutanto, E. B., Christyana, T. L. P. I., Mandagie, A. K., Tjitradinata, C., & Simanjuntak, H. E. (2023). Erosi Ketimpangan Kesehatan Digital. Praxis: Jurnal Sains, Teknologi, Masyarakat dan Jejaring, 5(2), 175–187.
Tutuko, B., Nurmaini, S., Rachmatullah, M. N., Darmawahyuni, A., & Firdaus, F. (2020). A Deep Learning Approach to Integrate Medical Big Data for Improving Health Services in Indonesia. Computer Engineering & Applications Journal, 9(1).
Widjaja, G., Sijabat, H. H., & Dhanudibroto, H. (2025). Technology-Based Health Communication: Legal Regulation, Telemedicine Implementation, And Patient Data Protection In The Era Of Digital Transformation. Jurnal Komunikasi, 3(5), 194–203.
Yusriadi, Y., Rusnaedi, R., Siregar, N. A., Megawati, S., & Sakkir, G. (2023). Implementation of artificial intelligence in Indonesia. International Journal of Data and Network Science, 7.
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