SIMRSGuard: SATUSEHAT and BPJS Compliance Monitoring Platform for Hospitals
Pastikan setiap data wajib rumah sakit Anda benar-benar sampai ke SATUSEHAT dan BPJS Kesehatan, sebelum surat teguran datang.
Overview
SIMRSGuard is an end-to-end data monitoring and audit platform that ensures every mandatory hospital data record actually reaches SATUSEHAT and BPJS Kesehatan. The platform works alongside the existing SIMRS, detects failures before they become reprimands, and runs entirely within the hospital network.
Masalah yang Diselesaikan
- Hospital compliance is now assessed based on data that actually reaches SATUSEHAT and BPJS Kesehatan, not on documents.
- In 2026, 1,306 hospitals were sanctioned for failing to send mandatory SATUSEHAT resources, ranging from warnings to accreditation downgrades.
- An analysis of 33,901 healthcare facilities showed that only 58 percent reached the 50 percent submission threshold.
- The most dangerous integration failures do not generate error messages, so transactions appear normal in the SIMRS but never reach the national channel.
- Error messages from the national channel vary in wording, making one problem look like dozens of problems.
- The repair burden piles up in the IT unit, even though the data sources are in registration, outpatient clinics, pharmacy, and medical records.
Fitur dan Kemampuan
- SATUSEHAT Monitor tracks the delivery status of every FHIR resource, from Encounter, Condition, Observation, Procedure, and Medication to radiology ImagingStudy.
- Sync Monitor oversees the health of the scheduler and watchdog so that the delivery process does not silently stop.
- The BPJS compliance monitor covers the achievement of online queue tasks T1 through T7, outpatient waiting times, electronic control letters, and the alignment of doctors' practice hours with HFIS.
- Bed Management synchronizes bed availability to Aplicares and SIRANAP automatically.
- Error Center groups errors by type, stores retry history, and provides resend functionality.
- SEP Audit detects five patterns of data anomalies and verifies them through three-way comparison among VClaim, E-Klaim, and SIMRS.
- Swapped medical record audit scans registrations attached to other patients as a patient safety safeguard.
- Sentinel AI detects compliance anomalies, predicts registrations at risk of failed delivery, groups error messages, and checks cybersecurity every day.
- The master data module maps doctors and polyclinics to BPJS codes, drugs to KFA, laboratory tests to LOINC, and rooms to BPJS and SIRANAP classes.
- Every correction is routed to the data-owning unit so that it does not pile up in the IT unit.
Cocok untuk
Paket dan Layanan
Compliance Health Check
Audit awal untuk mengetahui posisi kepatuhan data rumah sakit Anda sebelum berinvestasi.
- Pemetaan alur data SIMRS ke SATUSEHAT dan BPJS
- Pengukuran capaian per resource dan per task antrean
- Temuan kegagalan kirim yang tidak terlihat
- Laporan prioritas perbaikan untuk manajemen
SIMRSGuard Core
Fondasi monitoring kepatuhan untuk kanal SATUSEHAT dan BPJS Kesehatan.
- Monitor SATUSEHAT dan Sync Monitor
- Monitor antrean online, waktu tunggu, dan surat kontrol
- Bed Management ke Aplicares dan SIRANAP
- Error Center dengan retry dan kirim ulang
- Instalasi on-premise dan pelatihan unit
SIMRSGuard Enterprise
Lapisan audit dan kecerdasan artifisial untuk rumah sakit dengan volume klaim besar.
- Semua fitur Core
- Audit SEP dan deteksi potensi fraud
- Audit rekam medis tertukar
- Sentinel AI dan pemeriksaan keamanan harian
- Aturan dan indikator kustom
Managed Compliance
Tim kami yang memantau, rumah sakit Anda menerima laporan dan tindak lanjutnya.
- Pemantauan harian oleh tim kami
- Laporan kepatuhan bulanan untuk direksi
- Penyesuaian saat API Kemenkes atau BPJS berubah
- Dukungan prioritas dengan SLA
RS PKU Muhammadiyah Sleman
SIMRSGuard pertama kali dikembangkan dan diterapkan di RS PKU Muhammadiyah Sleman. Kondisi awal menunjukkan capaian SATUSEHAT 33,3 persen dan quality rate antrean online di bawah 60 persen. Berikut hasil setelah implementasi.
- SATUSEHAT data delivery achievement rose from 33.3 percent to 91.7 percent.
- The quality rate of the Mobile JKN online queue increased from below 60 percent to 94.65 percent.
- Radiology ImagingStudy submissions rose from zero to 1,738 successfully sent records.
- Doctor practice-hour compliance with HFIS increased from 94 percent to 98 percent.
- SEP cases attached to other patients' registrations dropped to zero starting August 2026 after the gap was closed systemically.
- Within 90 days, 726 unique error messages were summarized into 39 clusters, and 85 percent of 5,074 incidents were routed directly to the data-owning unit.
- The predictive model for failed-submission risk reached an AUC of 0.976 in the latest test period.
- This implementation was written up in the 2026 Innovation in Healthcare IT Competition paper co-authored with Muhammad Jinaan Fakhruddin.
Tampilan Aplikasi
Teknologi
Model Implementasi
- On-premise di server rumah sakit
- Data pasien tidak pernah keluar dari jaringan rumah sakit
- Berjalan berdampingan dengan SIMRS yang ada tanpa mengganti sistem
- Adaptor data disesuaikan dengan struktur SIMRS saat implementasi
- Implementasi bertahap per modul
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