DIGITAL TRANSFORMATION AND THE RISK OF EXCLUSION: IMPLEMENTATION OF THE MOBILE JKN ONLINE QUEUEING SYSTEM IN OUTPATIENT SERVICES
Abstract
Digital transformation has become a priority for health systems in the Industry 4.0 era, yet its benefits are not distributed evenly across patient groups. Dr. Pirngadi General Hospital, Medan, has implemented an online queueing system through the Mobile JKN application; however, its utilisation remained low, reaching only 9.16% of outpatients (4,709 of 51,419) during January–September 2025.To analyse the implementation of the Mobile JKN online queueing programme in outpatient services using Rogers’ Diffusion of Innovations framework (relative advantage, compatibility, complexity, trialability, and observability), with particular attention to factors that may exclude vulnerable users. A qualitative case study was conducted from February to April 2026. Twelve informants (eight outpatient Mobile JKN users, one outpatient nurse, one administrative coordinator, one IT staff member, and one BPJS Kesehatan person-in-charge) were selected purposively until data saturation. Data were gathered through in-depth interviews, direct observation, and document review, and analysed using thematic analysis. Trustworthiness was established through source and technique triangulation. In terms of relative advantage, the system reduced physical queues and paper logistics and shortened administrative processing through automatic population of the hospital information system (SIMRS). Compatibility was supported by integration via Bridging System v2.0, but a misfit emerged for elderly and non-smartphone users. Complexity was the dominant barrier, centred on account activation requiring phone credit and an internet connection, and on low digital literacy among older patients. Trialability and observability were adequate, monitored through the quality rate (QR) indicator reported every 3–7 days; the QR initially fell below the >85% target but improved with continuous evaluation. The programme delivers clear efficiency gains, but its low uptake reflects a digital divide driven by patient demographics and technological constraints rather than by system design. Targeted digital-literacy support and assisted-registration services for technology-vulnerable groups are required to make the innovation genuinely inclusive.
Keywords
Full Text:
PDFReferences
Bertolazzi, A., Quaglia, V., & Bongelli, R. (2024). Barriers and facilitators to health technology adoption by older adults with chronic diseases : an integrative systematic review. BMC Public Health, 24, 1–17. https://doi.org/https://doi.org/10.1186/s12889-024-18036-5
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2). https://doi.org/https://doi.org/10.1191/1478088706qp063oa
Dash, S., Shakyawar, S. K., Sharma, M., & Kaushik, S. (2019). Big data in healthcare : management , analysis and future prospects. Journal of Big Data, 6(1), 1–10. https://doi.org/10.1186/s40537-019-0217-0
Ferreira, D. C., Pedro, M. I., Caldas, P., & Varela, M. (2023). Patient Satisfaction with Healthcare Services and the Techniques Used for its Assessment : A Systematic Literature Review and a Bibliometric Analysis. Healthcare, 11(5). https://doi.org/https://doi.org/10.3390/healthcare11050639
Hepburn, J., Williams, L., & Mccann, L. (2025). Barriers to and Facilitators of Digital Health Technology Adoption Among Older Adults With Chronic Diseases : Updated Systematic Review Corresponding Author : JMIR AGING, 8, 1–17. https://doi.org/10.2196/80000
Kitsios, F., Stefanakakis, S., & Kamariotou, M. (2023). Digital Service Platform and Innovation in Healthcare : Measuring Users ’ Satisfaction and Implications. Electronics, 12(3), 662. https://doi.org/https://doi.org/10.3390/electronics12030662
Koca, M., Deniz, S., & İnceoğlu, F. (2025). Evaluation of the use of the central physician appointment system and patient satisfaction in a training and research hospital: A cross-sectional study. Medicine, 104(44). https://doi.org/10.1097/MD.0000000000045507
Matthew B, M., Huberman, A. M., & Saldana, J. (2014). Qualitative data analysis: A methods sourcebook (3rd ed.). Sage. https://books.google.co.id/books?id=p0wXBAAAQBAJ&printsec=frontcover&hl=id#v=onepage&q&f=false
Nguyen, N. X., Tran, K., & Nguyen, T. A. (2021). Impact of Service Quality on In-Patients ’ Satisfaction , Perceived Value , and Customer Loyalty : A Mixed-Methods Study from a Developing Country. Patient Preference and Adherence, 10(August), 2523–2538. https://doi.org/https://doi.org/10.3389/fpubh.2022.925681
Pratama, Z. S., & Suhartanto, D. (2025). Encouraging The Intention to Use Mobile JKN Application For Patient Registration and Appointment In Indonesia: A Cross-Sectional Study. JPH RECODE, 8(2), 97–108. https://doi.org/http://dx.doi.org/10.20473/jphrecode.v8i2.58574
Raihan, M. M. H., Koch, K., & Ruttan, E. (2026). Dimensions and barriers for digital ( in ) equity and digital divide : a systematic integrative review. Digital Transformation and Society, 4(2), 111–127. https://doi.org/10.1108/DTS-04-2024-0054
Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.
Wahidah, M., Syaiful, A. R., Najib, R. O., Prasetiya, I., Bakhri, A. S., Rifka, A., Sari, Y., Sahraini, L. A., Fiqri, M., Bayu, I. G., Januar, E., & Rezki, M. (2023). Efektivitas Implementasi Monitoring Intensif Pemanfaatan Antrean Online melalui Mobile JKN di Fasilitas Kesehatan Rujukan Tingkat Lanjutan ( FKRTL ) Champion Kantor Cabang Bulukumba Tahun 2022. Jurnal Jaminan Kesehatan Nasional, 3(1), 116–129. https://doi.org/10.53756/jjkn.v3i1.140
World Health Organization. (2021). World Health Statistics 2021 Monitoring Health for The SDGs. World Health Organization. https://iris.who.int/bitstream/handle/10665/342703/9789240027053-eng.pdf
Wurster, F., Gion, P. Di, Goldberg, N., Hautsch, V., Hefter, K., & Herrmann, C. (2024). Roger’s diffusion of innovations theory and the adoption of a patient portal’s digital anamnesis collection tool: study protocol for the MAiBest project. Implementation Science Communications, 5, 1–8. https://doi.org/10.1186/s43058-024-00614-8
Zhang, H., Ma, W., Zhou, S., Zhu, J., Wang, L., & Gong, K. (2023). Effect of waiting time on patient satisfaction in outpatient: An empirical investigation. Medicine, 102(40). https://doi.org/10.1097/MD.0000000000035184
DOI: http://dx.doi.org/10.30829/jgsims.v7i2.29448
Refbacks
- There are currently no refbacks.
Copyright (c) 2026 Michael Sabatino Sitompul, Ermi Girsang, Sri Lestari Ramadhani Nasution

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Pusat Studi Gender dan Anak Universitas Islam Negeri Sumatera Utara
Jl. Williem Iskandar, Pasar V Medan, Medan Estate 20371
» Tel / fax : (061) 6615 683 /



