Case Studies

Medical Policy Intelligence & Compliance Platform

Large Research-based Tertiary Hospital Group

A policy and compliance base for multi-campus medical groups, providing deep AI interpretation of medical insurance (DRG/DIP), health, and drug regulations to achieve closed-loop management from policy issuance to clinical execution.

AI
Key Metrics

Project Results

0/7
Real-time Monitor
Automated crawling across 31 provinces and national regulatory bodies
<15min
Intelligence Timing
Average time from policy release to system-wide push
0%
Interpretation Accuracy
Accuracy for core element extraction and impact assessment
0%
Audit Efficiency
Significant reduction in manual effort for compliance self-checks and policy comparison
Core Technology Features

Technical Highlights

Omni-channel Monitoring

Covers health commissions, medical insurance, and drug administrations across national and 31 provincial sources

LLM Deep Interpretation

Based on vertical medical LLM, generating automated policy summaries, impact assessments, and landing suggestions

DRG/DIP Specialization

Focuses on medical insurance reform with dedicated payment policy analysis and execution deviation assessment

Business Impact Loop

Policies mapped to business lines for full-lifecycle management from interpretation to feedback

200+10+AIx8
Project Overview

Client Background

This large tertiary hospital group operates multiple campuses and requires real-time alignment with national and local health, insurance, and drug policies. With the deepening of Medical Insurance Reform (DRG/DIP), traditional manual modes based on paper documents and word-of-mouth can no longer handle the multi-regional, high-frequency, and complex regulatory environment.

Technology Stack

Policy LLMSemantic SpiderMedical Knowledge GraphDRG Analysis Engine
Transformation

From Challenges to Solutions

Transformation
1Policy fragmentation: Regulations differ across campus locations and update frequently; manual collection is prone to omissions, leading to inconsistent internal standards
Deployed an omni-channel policy monitoring matrix, tracking dynamics across 31 provinces and national bodies for group-wide intelligence response
2Coarse interpretation: Generic models fail to understand complex DRG payment rules and business mapping, making it impossible to translate into clinical execution logic
Developed a Specialized Medical Policy LLM to deeply disassemble policy texts, automatically extracting scope, incentives, and red lines
3Communication gaps: After a policy is issued, it is difficult to precisely identify affected treatment projects and department heads, leading to compliance delays
Built a Policy-Business Knowledge Graph, mapping policy requirements to hospital departments, drug catalogs, and clinical workflows for intelligent impact analysis
4High audit costs: Multi-campus compliance auditing requires massive management labor for manual comparison and verification, leading to lagging risk discovery
Established a Compliance Task Closed-Loop System, generating rectification suggestions and propagation tasks directly to department heads with full traceability
Technical Architecture

System Architecture Design

Layer 1
Policy Intelligence Base

Real-time multi-channel policy monitoring and semantic indexing, covering national and provincial data sources

Web ScanSemantic IndexData CleaningTime Tracking
Layer 2
AI Interpretation Engine

LLM-based policy interpretation and knowledge graph construction for precise impact prediction

Policy GraphLLM InterpretationImpact AnalysisChange Mining
Layer 3
Compliance Service Layer

Compliance alerts and task distribution closed-loop for DRG/DIP and department operations

DRG ComplianceTask LoopExecution TrackDecision Support
全渠道政策感知业务影响映射科室执行闭环DRG 盈亏模拟
Implementation Timeline

Phased Implementation

1
Phase 1

Group Data Foundation

Connected all-channel regulatory data sources, accumulated 100k+ historical policy data, and established a unified semantic search base

2
Phase 2

AI Interpretation Engine

Trained medical policy-specific LLM, constructed DRG/DIP policy graphs, and achieved automated multi-campus impact matching

3
Phase 3

Compliance Loop Integration

Launched compliance dashboards and task distribution modules for standardized policy response across the entire group

Testimonial

Client Testimonial

As a medical group, we fear deviations in policy execution most. Now, the system tells us how different campuses and departments should adjust the moment a new regulation is released, greatly reducing our operational risk.

Group Medical Director

Healthcare Management Expert

FAQ

Frequently Asked Questions

How does the system handle policy differences between provinces?
What depth can the system interpret complex DRG/DIP policies?
How do you ensure the timeliness of policy crawling?
Can the system monitor non-medical policies?

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