Waterdrop is a leading technology platform in China dedicated to insurance and healthcare services with the goal of bringing affordable insurance and healthcare to billions through technology. It uses AI, blockchain, data, and other technologies across its various business lines of insurance marketplace, mutual aid, medical crowdfunding, and healthcare services. Key aspects of Waterdrop's platform include an intelligent customer service system, marketing system, claims system, medical knowledge graph, and risk management system that utilize technologies like machine learning, natural language processing and computer vision.

1. Insurance and
related medical
services
……
Healthcare
ecosystem
Leading technology platform dedicated to insurance and healthcare service with a positive
social impact in China
Insurance Marketplace Mutual Aid Medical Crowdfunding
Waterdrop Medicine Waterdrop Health Waterdrop Clinic

2. Our Mission
We at Waterdrop aspire to bring insurance and
healthcare service to billions through technology

3. Full
Digitalization
Process-
Driven
Data-
Driven
Intelligence
- Driven
Waterdrop InsurTech Vision

4. Waterdrop InsurTech’s「ABDC」Strategy
AI Blockchain Data Construction
+ +
A B D C

5. Waterdrop Brain
Solution
Smart Hub
NLP
OCR
Recommendation
Algorithm
Blockchain
Semantic analysis, text mining, graphic translation, Q&A system, multi-round dialogue, dialogue
emotion recognition, smart error correction
Medical bill recognition, inspection report recognition, outpatient/ emergency and admission/discharge
documents recognition, insurance document recognition, card identification, text structuring
Content-based recommendation, collaborative filtering recommendation, rule
recommendation, utility recommendation, knowledge recommendation
Decentralization, distributed ledger, encryption algorithm, smart contract, multi-party witness
Data Collection
Data Process
Data Integration
Online and offline data collection related to Medical
Crowdfunding, Mutual Aid and Insurance Marketplace
Connecting 3rd party data
Extraction, desensitization, cleaning, and integration
of collected and accessed data
Big Data
Smart Insurance
Smart Consumer
Service
Smart Medical Risk Control
Smart
Marketing
Smart verification
Smart claim
settlement
Product access
platform
Robot caller
Smart quality
inspection
Dialog emotion
analysis
Medical bills
recognition
Specialty drugs
recommendation
Smart diagnosis
Smart anti-fraud
Smart ID
verification
User relationship
chart
User Profile
AI marketing
Tidus Smart
Marketing
AI
+
Blockchain

6. AI empowered Full Insurance Process, Reshaping the Insurance
Value Chain
Marketing Product Operation
User profile
User Access
Method of marketing/
service approach
Insurance product supply
Product/Service Understanding
Product/Service Pricing System
Claims services
Healthcare management
Inaccessibility Unaffordable Communication
difficulties
Long Waiting
period
Complicated Information
Submission System
Poor User
Experience
High barrier of
user education
High Labor Cost
High Customer
Acquisition Cost
Precision Marketing
Obstacles
Unprofessional
High Information
administering cost
High Risk Complicated
User System
Inefficient handling
of materials
Long Investigation
time
Talent
Turnover
Precision
Marketing
User
Services
Information
collection
Insurance Loss
Adjustment
Insurance
claims

7. Waterdrop Intelligent Customer Service
Intelligent Detection Active Assistance
Real-Time Translation Content Quality
Inspection
Human-Machine Coupling
Knowledge Base
Pre-trained model RNN neural network

8. Waterdrop Intelligent Marketing System
External Marketing
User Profile Platform Accessibility Data Analysis
A/B test
Event
Tracking
7000+
Data collection method, providing basis
for data analysis
Channel
Management
2300+
Standardizing Channel Management, view conversion
results by category
Labels 400+
Categorize crowd characteristics, provide refined
operation basis
Hawk-eye experiment 1400+
Compare different version to seek optimal experience
Ecosystem Application
Label System
Transaction
Behavior
Natural
Attributes
Platform
Behavior
3rd Party
Data
Basic
Labels
Crowd
Category
Ground Data
Segmented
Leads
Recommended
Pricing
User
Profile
Dialogue
Marketing
Age
Geography
Name
Personal attributes
Financial
Capabilities
Degree of
recommendation
Contact information
Employment
Business Dealings
Family
Personal
Information
Browsing
behaviour
User Research
Information
Consulting
Business
Dealings
User
Profile
Info

9. Waterdrop Intelligent Claims System
Personal
Information
Health and
medical info
Investigation
report
OCR
Image
identification
Image processing
Disease database
Three catalogs of
basic medical
insurance
Diagnosis database
Medication and
surgery database
……
ID verification
Medical knowledge
graph
Efficiency Enhancement
Cost Efficiency
99.7%
55.9%
59.3%
Smart Claim
Settlement
System
Risky user filtering
Smart
verification
Adjustment system
Smart entry
Claim Accuracy Rate
Process Improvement of
Cases Covered by Model
Improvement of
Material Input

10. Waterdrop Medical Knowledge Graph
Disease Treated
Drugs
English Name
Name
Drug
Standard Code
Others
1st sub-category
Components
Shape
Indications
Usage
Adverse reaction
Prohibition
Manufacturer dosage
form specification
Listed on Waterdrop
Medicine database?
Diseases
ICD10
Code
Others
Types
Diagnosis Basis
Differential
diagnosis
Cause of illness
Disease prone
population
Clinical symptoms
and signs
Treatment
Prognosis
Location
Pathology
Symptom
Physical signs
Installments
Categories
1 million entity
relationship
Covering 99% of the
diagnostic database
Normalization
Over 10,000+ disease
names

11. Establishing the Pillar Stone of Waterdrop Risk Management System
Waterdrop
Blacklisted Database
Waterdrop has established a risk control blacklist database, including
internal and third-party data sources, to effectively block the intrusion
of risky users.
Risk Control Grading
Based on the user's health condition, built a risk control system
covering multi-dimensional data such as medical, social, insurance,
fraud, etc., grading the users into different levels.
Risk Warning
Monitor the trend of changes in risk factors, evaluate the extent to
which the risk status deviates from the warning line, and take pre-empt
measures in advance to control the occurrence of risks from the origin.
TM
Stringent
Review
Real-time
monitoring
Multi-dimensional
processing

12. Waterdrop Blockchain
Decentralization
Real Data
Distributed Ledger
Encryption Algorithm
Smart contract
Trusted Storage
Widely Recognized