KNOWLEDGE BASE

Frequently Asked Questions

Pertanyaan yang Sering Diajukan

Find quick answers to common queries regarding our AI platforms, systems integrations, security practices, and company details.

Temukan jawaban cepat mengenai platform AI kami, integrasi sistem rekam medis, kebijakan keamanan, dan info perusahaan.

PT Inditek Global Medika (Indihealth) is an Indonesian HealthTech company that develops custom digital healthcare platforms and AI-driven applications. We specialize in problem-based solutions to streamline workflows for hospitals, rural clinics, and municipal governments.

PT Inditek Global Medika (Indihealth) adalah perusahaan HealthTech asal Indonesia yang merancang platform kesehatan digital kustom dan aplikasi berbasis AI. Kami fokus pada solusi berbasis masalah untuk menyederhanakan alur kerja rumah sakit, klinik desa, dan pemerintah daerah.

Our central office is located in Bandung, West Java, Indonesia. This is where our primary engineering, medical policy research, and executive teams operate.

Kantor pusat kami berlokasi di Bandung, Jawa Barat, Indonesia. Lokasi ini menjadi pusat operasional bagi tim pengembang perangkat lunak, peneliti kebijakan klinis, dan jajaran manajemen kami.

Standard SaaS companies offer rigid, "one-size-fits-all" software. Indihealth focuses on custom flexibility. We recognize that municipal healthcare structures and regional hospital workflows vary, so we design software that dynamically adapts to each organization's specific challenges and regional regulations.

Perusahaan SaaS standar menawarkan perangkat lunak yang kaku dan seragam. Indihealth berfokus pada fleksibilitas kustomisasi. Kami menyadari bahwa struktur dinas kesehatan daerah dan alur kerja rumah sakit berbeda-beda, sehingga kami merancang sistem yang beradaptasi secara dinamis.

We actively support the Indonesian Ministry of Health's (Kemenkes) digital health pillars by developing cloud-native databases, implementing FHIR interoperability standards, and deploying stunting-prevention tools that bridge local clinics with national repositories.

Kami secara aktif mendukung pilar transformasi kesehatan digital Kementerian Kesehatan RI dengan mengembangkan basis data berbasis cloud, menerapkan standar interoperabilitas FHIR, dan menyediakan aplikasi pencegahan stunting di tingkat kader posyandu.

STUN SMART is an AI-powered growth monitoring and stunting prevention system. It connects village health cadres (kader posyandu), midwives, and regency doctors, allowing them to map infant measurements, calculate WHO Z-scores automatically, and coordinate targeted nutritional distributions.

STUN SMART adalah sistem pemantauan pertumbuhan dan pencegahan stunting bertenaga AI. Sistem ini menghubungkan kader posyandu, bidan, dan puskesmas untuk mendata fisik anak, menghitung Z-score WHO secara otomatis, dan mengoordinasikan bantuan nutrisi.

MBO (Management by Objective) for Health is an enterprise management dashboard. It helps medical directors and public administrators track hospital KPIs, set departmental goals, coordinate clinic workflows, and measure patient satisfaction index metrics.

MBO (Management by Objective) for Health adalah dasbor manajemen kinerja instansi medis. Platform ini membantu direktur rumah sakit memantau KPI divisi, menetapkan sasaran tim, mengoordinasikan alur kerja klinik, dan mengukur kepuasan pasien.

CITYA is a public health command center. It utilizes GIS mapping for epidemiological tracking, features predictive machine learning models to forecast outbreak risks, and integrates an NLP chatbot to allow officials to query demographic statistics easily.

CITYA adalah pusat komando kesehatan masyarakat. Platform ini menggunakan pemetaan GIS untuk pelacakan epidemiologi, dilengkapi model pembelajaran mesin untuk memprediksi risiko wabah, serta chatbot NLP untuk pencarian statistik cepat.

The AI analyzes a variety of indicators, including child age, gender, historical weight/height curves, parent height genetics, socioeconomic access to sanitation, and clean water. Using multiple machine learning models, it identifies potential stunting risks months before physical growth lag becomes visible.

AI menganalisis berbagai indikator, meliputi usia anak, jenis kelamin, tren berat/tinggi badan, genetika tinggi orang tua, serta akses sanitasi air bersih. Menggunakan model machine learning, AI mendeteksi risiko stunting sebelum gejala fisik terlihat jelas.

Yes. Indihealth solutions are built to be highly compatible. We provide secure API connectors that link our dashboards directly to your existing Hospital Information Management Systems (SIMRS) without disrupting active operational workflows.

Ya. Solusi Indihealth dirancang untuk kompatibilitas tinggi. Kami menyediakan konektor API aman yang menghubungkan dasbor kami secara langsung ke Sistem Informasi Manajemen Rumah Sakit (SIMRS) aktif tanpa mengganggu operasional medis.

Yes. Our platforms support direct data synchronization pipelines with the Ministry of Health's national SATUSEHAT framework. This ensures that patient diagnostic records and child immunization data are aligned with national records.

Ya. Platform kami mendukung sinkronisasi data langsung dengan kerangka kerja nasional SATUSEHAT Kementerian Kesehatan. Ini memastikan rekam medis diagnostik dan imunisasi balita selaras dengan basis data nasional.

We implement HL7 FHIR (Fast Healthcare Interoperability Resources) data standards. This guarantees that our data schemas, record transfers, and medical device integrations comply with modern, global medical software standards.

Kami menerapkan standar pertukaran data medis internasional HL7 FHIR (Fast Healthcare Interoperability Resources). Ini menjamin skema data kami dan transfer rekam medis mematuhi protokol perangkat lunak kesehatan global modern.

Yes. Our mobile-friendly cadre dashboards (e.g. within STUN SMART) support offline data caching. Local cadres can input infant measurements offline in remote villages, and the app will automatically synchronize with our secure servers once internet connectivity is restored.

Ya. Dasbor kader posyandu kami (dalam STUN SMART) mendukung penyimpanan data offline. Kader posyandu dapat memasukkan ukuran balita di desa terpencil tanpa internet, dan aplikasi akan mensinkronisasikannya secara otomatis begitu terhubung kembali.

We implement bank-grade security protocols. This includes AES-256 encryption at rest, TLS 1.3 data-in-transit encryption, secure cloud infrastructure hosting, and strict Role-Based Access Control (RBAC) to restrict patient files to authorized clinicians.

Kami menerapkan protokol keamanan enkripsi setingkat bank. Ini meliputi enkripsi AES-256 pada database, TLS 1.3 saat pengiriman data, infrastruktur awan terlindungi, serta pembatasan akses berbasis peran (RBAC) bagi pengguna.

Yes. PT Inditek Global Medika operates in full compliance with the Indonesian UU PDP. We maintain strict data consent protocols, provide mechanisms for users to exercise their rights to access/rectify records, and employ a Data Protection Officer.

Ya. PT Inditek Global Medika beroperasi dengan mematuhi sepenuhnya UU PDP Indonesia. Kami menjaga protokol persetujuan data yang ketat, menyediakan fitur hak akses dan koreksi data bagi pengguna, serta menunjuk Staf Pelindung Data khusus.

In compliance with Indonesian government regulations (PP 71/2019), all personal and national health data processed by Indihealth platforms is hosted within secure, localized Tier-3 data centers located in Indonesia.

Sesuai Peraturan Pemerintah RI (PP 71/2019), seluruh data pribadi dan rekam medis nasional yang diproses oleh platform Indihealth disimpan dan di-host di pusat data Tier-3 lokal yang aman di dalam wilayah Indonesia.

Yes. Our platforms undergo routine penetration testing and security audits carried out by certified independent cybersecurity agencies, ensuring our codebase remains resilient against modern digital exploits.

Ya. Platform kami menjalani uji penetrasi (penetration testing) dan audit keamanan secara berkala oleh lembaga keamanan siber independen bersertifikat untuk menjamin ketahanan kode perangkat lunak kami.

You can submit a demo request using the contact form on our homepage or by emailing info@indihealth.com. Our solutions team will get in touch to schedule a presentation customized to your organization's needs.

Anda dapat mengajukan permohonan demo menggunakan formulir kontak di beranda kami atau mengirim email ke info@indihealth.com. Tim solusi kami akan segera menghubungi Anda.

We provide end-to-end onboarding support. This includes on-site workshops for regional health workers, video tutorials, detailed training booklets, and continuous technical assistance from our dedicated account coordinators.

Kami menyediakan pendampingan awal yang lengkap. Ini meliputi lokakarya langsung di lapangan untuk tenaga kesehatan daerah, video tutorial, modul pelatihan cetak, serta dukungan teknis berkelanjutan dari koordinator kami.

You can view our list of open roles on our Careers page. Submissions, including your resume, cover letter, and engineering portfolio, should be sent to careers@indihealth.com.

Anda dapat melihat daftar posisi yang aktif di halaman Karir kami. Berkas lamaran, resume, surat pengantar, dan portofolio keahlian Anda dapat dikirim langsung ke careers@indihealth.com.

For partner healthcare institutions under active enterprise SLA contracts, we provide a 2-hour response guarantee for critical system blockers and 24-hour resolutions for standard operational inquiries.

Bagi institusi kesehatan mitra yang terikat kontrak SLA aktif, kami memberikan jaminan respons dalam waktu 2 jam untuk kendala sistem kritis dan penyelesaian dalam 24 jam untuk pertanyaan operasional biasa.