Pre-Admission Confirmation sebagai Instrumen Perlindungan Hukum Rumah Sakit dalam Skema Koordinasi Antar Penyelenggara Jaminan (KAPJ)
DOI:
https://doi.org/10.55606/jurrish.v5i2.8515Keywords:
Coordination of Benefits, Health Financing Governance, Hospital Administration, Pre-Admission Confirmation, Preventive Legal ProtectionAbstract
This study is motivated by the increasing complexity of financing coordination between the National Health Insurance (BPJS Kesehatan) and supplementary health insurance providers under the Coordination of Benefits (KAPJ) scheme, which creates potential claim disputes and administrative risks for hospitals. Although Minister of Health Decree No. HK.01.07/MENKES/1117/2025 regulates payment allocation and membership verification mechanisms, it does not explicitly recognize pre-admission confirmation as a preventive legal protection instrument. This research aims to analyze the normative position of pre-admission confirmation within the KAPJ framework, conceptualize it as a preventive legal protection mechanism, and formulate a proportional implementation model. The study employs a normative juridical method using statutory and conceptual approaches through literature review of relevant regulations and scholarly works. The findings indicate that pre-admission confirmation possesses implicit normative legitimacy through membership verification obligations and system integration requirements, and functions as a risk allocation mechanism that clarifies payment responsibilities prior to service delivery. Its implementation enhances legal certainty, reduces fraud potential, and minimizes claim disputes, provided that access to emergency medical services remains guaranteed.
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Agustini, P., Veranica, R., & Mahadewi, E. P. (2025). Analysis of the possibility of fraud in the national health insurance program in Indonesia. International Journal of Health and Pharmaceutical Analysis, 5(1), 109–115. https://doi.org/10.51601/ijhp.v5i1.394
Andia, S. (2024). Fraud prevention strategies and financial stability of insurance companies in Kenya. African Journal of Commercial Studies, 5(1), 42–50. https://doi.org/10.59413/ajocs/v5.i1.6
Bostan, P., Asalos, N., & Bostan, I. (2022). Funding public health action programs: Allocations, budget execution and post-audit results at the level of the first pandemic year. Ovidius University Annals, Economic Sciences Series, 22(1), 793–802. https://doi.org/10.61801/ouaess.2022.1.106
Firmansyah, Y., Haryanto, I., & Ernawati, E. (2022). Fraud issues in the national health insurance: Causes, legal impacts, dispute settlement and preventive measures. Jurnal Multidisiplin Madani (MUDIMA), 2(4), 1663–1680. https://doi.org/10.55927/mudima.v2i4.272
Forstner, J., Pilz, M., Straßner, C., Weis, A., Litke, N., Uhlmann, L., Peters-Klimm, F., Aluttis, F., Baldauf, A., Kiel, M., Qreini, M., Kaufmann-Kolle, P., Schubert-Haack, J., El-Kurd, N., Tomaschko-Ubeländer, K., Treffert, S., Rück, R., Handlos, B., Karakas, G., … Szecsenyi, J. (2023). Hospital admission and discharge: Lessons learned from a large programme in southwest Germany. International Journal of Integrated Care, 23(1). https://doi.org/10.5334/ijic.6534
Hana, M. Z., & Prabowo, H. Y. (2025). Implementing fraud prevention and detection strategies in Indonesia's national health insurance: A case study at BPJS Kesehatan Yogyakarta. At-Taradhi: Jurnal Studi Ekonomi, 16(1). https://doi.org/10.18592/taradhi.v16i1.16732
Hong, B., Lu, P., Xu, H., Lu, J., Lin, K., & Yang, F. (2024). Health insurance fraud detection based on multi-channel heterogeneous graph structure learning. Heliyon, 10(9), e30045. https://doi.org/10.1016/j.heliyon.2024.e30045
Inggi, P. G., & Achadi, A. (2024). Evaluation of fraud prevention policies in the national health insurance system in Indonesia: Narrative literature review. The Indonesian Journal of Health Promotion, 7(10), 2449–2457. https://doi.org/10.56338/mppki.v7i10.6164
Kementerian Kesehatan Republik Indonesia. (2019). Peraturan Menteri Kesehatan Nomor 16 Tahun 2019 tentang pencegahan dan penanganan kecurangan (fraud) serta pengenaan sanksi administrasi terhadap kecurangan (fraud) dalam pelaksanaan program jaminan kesehatan.
Kementerian Kesehatan Republik Indonesia. (2025). Keputusan Menteri Kesehatan Republik Indonesia Nomor HK.01.07/MENKES/1117/2025 tentang pedoman pelaksanaan pembayaran selisih biaya oleh asuransi kesehatan tambahan melalui koordinasi antar penyelenggara jaminan.
Laras, D. N., Yulita, H., Ikhsan, M., & Mahadewi, E. P. (2025). Healthcare insurance agreement regarding financing of health services by insurance companies. International Journal of Health and Pharmaceutical Analysis, 5(3), 469–475. https://doi.org/10.51601/ijhp.v5i3.424
Lu, J., Lin, K., Chen, R., Lin, M., Chen, X., & Lu, P. (2023). Health insurance fraud detection by using an attributed heterogeneous information network with a hierarchical attention mechanism. BMC Medical Informatics and Decision Making, 23, Article 62, 1–17. https://doi.org/10.1186/s12911-023-02152-0
Nurlianti, I., Winarti, S., Sujatmiko, P., & Mahadewi, E. P. (2025). Analysis of fraud in national health insurance in Indonesia: A literature review. International Journal of Health and Pharmaceutical Analysis, 5(3), 476–484. https://doi.org/10.51601/ijhp.v5i3.341
Owolabi, T. (2025). Transforming appeal decisions: Machine learning triage for healthcare insurance systems. JAMIA Open, 8(1), 1–6. https://doi.org/10.1093/jamiaopen/ooaf016
Rahman, M. (2025). Data-driven graph neural network models for detecting fraudulent insurance claims in healthcare systems. American Journal of Interdisciplinary Studies, 6(1), 263–294. https://doi.org/10.63125/pmqa1e33
Ridwan, R., Munadi, S., Fahlevi, H., & Nadirsyah, N. (2024). Fraud prevention system with whistleblowing system in health services: A systematic review. Jurnal Jaminan Kesehatan Nasional, 4(1), 13–25. https://doi.org/10.53756/jjkn.v4i1.182
Saru, A. A. A., Arifin, M. A., Darmawansyah, D., Syafar, M., & Rahmatia, R. (2023). Potential fraud and its prevention in the implementation of national health insurance at Dadi Regional Hospital. International Journal of Public Health Science (IJPHS), 12(3), 1040–1047. https://doi.org/10.11591/ijphs.v12i3.22952
Silapurna, E. L. (2022). Fraud prevention legal certainty principle in health sector and implementation of health insurance program in Indonesia. Jurnal Berkala Kesehatan, 8(1), 61–67. https://doi.org/10.20527/jbk.v8i1.12855
Syahrudin, M. (2024). A systematic literature review of artificial intelligence in detecting fraud in health insurance. Bima Journal: Business Management and Accounting, 5(2), 175–188. https://doi.org/10.37638/bima.5.2.175-188
Venkataramana, P., & RamiReddy, C. (2024). Convergence of national and state health insurance schemes: A case study of AB PM-JAY and Dr. NTR Vaidya Seva. EPRA International Journal of Multidisciplinary Research (IJMR), 10(12), 145–152. https://doi.org/10.36713/epra2013
Zhang, Z., Ding, S., Yang, Z., & Hu, H. (2025). Research on quantitative evaluation of medical insurance fraud supervision policy based on the antecedents–process–outcomes framework. PLoS ONE, 20(1), 1–27. https://doi.org/10.1371/journal.pone.0313618
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