Serenic.ai
Của Serenic.aiSerenic.ai is an AI assistant for clinics and hospitals that automates medical scribing, clinical coding, and insurance claim optimization—reducing errors, speeding up reimbursement, and helping healthcare providers stay financially sustainable.
- Giai đoạn
- Đang thí điểm
- Ngành
- Y tế
- Triển khai
- Đám mây (SaaS)
Giá trị mang lại
Serenik.ai is the first AI platform built specifically for Indonesian healthcare systems, combining medical scribing, coding, and claims optimization in one integrated solution. Our differentiators: Localized AI trained on Bahasa Indonesia and Indonesian medical data. Regulatory-first design, aligned with INA-CBG, ICD-10, and Satu Sehat requirements. Real-time insights from day one of care—not just post-discharge. End-to-end automation from clinical note-taking to compliant claim submission. Affordable, scalable pricing designed for hospitals and clinics in emerging markets.
- Serenic.ai addresses 3 critical pain points for healthcare enterprises:
- 1. Revenue leakage from claim rejections and errors
- Hospitals lose up to $600K/month due to inaccurate or non-compliant claims. Our AI pre-validates and codes claims to reduce rejections by up to 60%.
- 2. Time-consuming, manual clinical documentation
- Doctors and nurses spend excessive time writing notes and managing paperwork. Our AI medical scribe automates note structuring and speeds up clinical workflows.
- 3. Non-compliance with insurance and national health regulations
- Constant regulatory changes and complex coding rules lead to costly oversights. Our system automatically flags gaps in documentation and aligns with local rules (e.g., ICD-10, INA-CBG, Satu Sehat).
- The result is faster, cleaner claims, reduced admin costs, and better staff productivity—all essential for long-term financial health in enterprise healthcare settings.
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Khách hàng phù hợp nhất
- Our ideal customers are mid- to large-sized hospitals and outpatient clinics in Indonesia and Southeast Asia that handle high volumes of insured patients, particularly under public insurance schemes like BPJS. These facilities typically face high administrative loads, low digital literacy, and a growing pressure to improve financial sustainability.
- Key characteristics:
- 100+ inpatient beds or 300+ outpatient visits/day
- Operate in public or hybrid public-private healthcare systems
- Use electronic medical records (EMRs), but still rely on manual coding and claim processes
- Struggle with claim rejections, overbilling risks, and staff burnout from documentation tasks
Khách hàng tiêu biểu đang trả phí
- Paid: Edu Farmers Foundation Free trial: Klinik Pintar, DoctorTool, Fatmawati General Hospital, National Brain Center Jakarta, Juanda Hospital Kuningan, National Hospital Surabaya, Ganesha Hospital, Harapan Bunda Lampung Hospital
Developed proprietary AI for medical scribing, clinical coding, and claims optimization tailored to Indonesian healthcare (ICD-10, INA-CBG, Satu Sehat). Achieved high model accuracy on real hospital datasets (>80%). Running active pilots with 4 hospitals and a few clinics; expanding to additional clinics and institutions. Formed strategic partnerships with healthcare providers, EMR vendors, healthcare consultants, and TPA. Built core team with expertise in AI, clinical practice, and hospital operations. Secured angel funding and preparing for institutional round in 2025.