Healthcare security anti-fraud
Using big-data intelligent analysis and AI models to detect fraudulent claims such as fake visits, over-treatment, and identity misuse, supporting precise audits and lead discovery.
Products & Technology
How we process health data
Zhongmei Health centers on big-data intelligent analysis to build an anti-fraud and intelligent-supervision system around healthcare fund security. We integrate and govern multi-source healthcare and insurance data, use AI models to identify violations and fraudulent claims, promote administrative-criminal-linked fund supervision, and deliver a comprehensive, systematic, and intelligent healthcare-security management-service system.
Scenarios
Application scenarios
Intelligent healthcare fund supervision
Building intelligent supervision for healthcare fund operations and promoting administrative-criminal-linked fund supervision to improve efficiency, fairness, and justice.
Health big-data intelligent analysis
Aggregating and governing multi-source healthcare data with structuring and intelligent analysis to support supervision, decision-making, and health services.
Intelligent healthcare-security management services
Comprehensive, systematic, and intelligent management services for the healthcare security domain, covering system development, models, and platform operations.
GPU-accelerated big-data intelligent analysis
Training and inference for anti-fraud detection and fund-supervision models run on GPU-accelerated computing, letting us model and iterate rapidly over massive healthcare and insurance datasets with the throughput supervision workloads demand.
Core Technology
AI & data science capabilities
Anomaly detection & risk scoring
Combining supervised and unsupervised machine learning to detect anomalies and score risk across visit, prescription, and settlement data, identifying fake visits, over-treatment, and other violations.
Graph analytics for fraud-ring detection
Building a "patient–provider–drug–institution" knowledge graph and applying graph computing and community detection to uncover organized fraud rings and benefit chains.
Medical NLP & large language models
Using natural language processing and large language models to structure and semantically understand unstructured medical text such as records, prescriptions, and invoices.
Hybrid rules + machine learning
Combining healthcare policy rules with machine learning models to balance regulatory explainability with the generalization power of models.
Technology stack
Products
Products & services
Healthcare Security Anti-Fraud System
ANTI-FRAUD SYSTEM
An anti-fraud system centered on big-data intelligent analysis that identifies violations and fraudulent claims, supporting precise audits and lead discovery.
Healthcare Fund Supervision Platform
FUND SUPERVISION PLATFORM
An intelligent supervision platform for healthcare fund operations, promoting administrative-criminal-linked supervision to improve efficiency and fairness.
Health Big-Data Analytics Platform
HEALTH BIG DATA ANALYTICS
Aggregates, governs, and analyzes multi-source healthcare data to provide intelligent data support for supervision, decisions, and health services.
Intelligent Medical-Security Management Service
INTELLIGENT MEDICAL SECURITY SERVICE
Comprehensive, systematic, and intelligent management services for the healthcare security domain, covering system development and platform operations.
Case Studies
Projects delivered
National Healthcare Security Anti-Fraud System
NATIONAL ANTI-FRAUD SYSTEM
At the founding of the National Healthcare Security Administration, among the first nationwide to propose and build a "Healthcare Security Anti-Fraud System," forming a comprehensive, systematic, and intelligent management-service system.
A first-of-its-kind nationwide anti-fraud system
Anti-Healthcare-Fraud Industry-Academia-Research Collaboration
INDUSTRY-ACADEMIA-RESEARCH COLLABORATION
Deep "anti-healthcare-fraud" collaboration with the Chinese Academy of Medical Sciences, Tsinghua University, and the Police Law Research Association of the China Law Society, advancing administrative-criminal-linked fund supervision.
Collaboration across three authoritative institutions
Provincial Healthcare Fund Intelligent Supervision Project
FUND SUPERVISION PROJECT
Built intelligent healthcare fund supervision for a provincial healthcare security authority, using big-data intelligent analysis to identify violations and fraud leads and improve supervision efficiency.
Big-data-driven intelligent fund supervision
Regional Healthcare Big-Data Analytics Project
HEALTH BIG DATA ANALYTICS
Aggregated and governed multi-source healthcare data for a regional healthcare institution, building intelligent analytics to support compliance, operations, and health-service decisions.
Multi-source governance + analytics dashboards
Industry focus
Where we focus
Who we serve