AI Medical CRM - Patient Follow-up & HIS Integration System

AI-driven patient management · Intelligent medical follow-up · Deep HIS integration

Helping hospitals achieve full-cycle management from patient needs discovery to service closure and continuous tracking, driving healthcare efficiency with AI.

100+
Medical Institutions
Including Grade 3 hospitals and specialty clinics
10,000+
Monthly Follow-up Tasks
Follow-up completion rate improved 50%+
95%
Client Satisfaction
Data from Q1 2026 Customer Survey
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Why Choose AI Medical?

AI-powered medical management solutions designed for healthcare institutions

Level 3 Security Certified

End-to-end data encryption, private deployment support, HIPAA compliant patient privacy

AI-Powered Efficiency

Auto-sync clinical data, 80% reduction in duplicate entry, intelligent follow-up task allocation

Three-System Integration

Connect HIS/CRM/Follow-up systems, real-time data sync, break information silos

Data Dashboard

Real-time KPIs: follow-up rate, return visit rate, patient satisfaction dashboard

Fast Deployment

Standard deployment 2-4 weeks, professional team full technical support, smooth launch

7×24 Technical Support

Round-the-clock technical support, fast fault response, ensure system stability

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AI-Driven Healthcare Service Efficiency

AI Medical focuses on consumer healthcare industry, providing Medical Needs Full-Cycle Management System and ClawMed Intelligent Agent Platform. Through AI technology, we connect HIS/CRM/Follow-up systems to achieve real-time patient data sync, intelligent follow-up allocation, and multi-channel active outreach, helping medical institutions improve follow-up efficiency by 50%+ and reduce manual entry by 80%.

Full-Cycle Security

Level 3 security certification, end-to-end data encryption, private deployment support ensuring data never leaves the hospital. Complete operation log audit and data desensitization support.

AI-Powered Efficiency

Auto-sync clinical data, reduce 80% duplicate entry. AI intelligently allocates follow-up tasks based on patient risk levels. Smart reminders via SMS/WeChat/APP multi-channel outreach.

Three-System Integration

Connect HIS/CRM/Follow-up systems with real-time data sync. Support Neusoft, Winning Health, PKUTHIS, Bsoft and other major HIS API integration, completed in 2-4 weeks.

Applicable Scenarios

General Hospitals

Outpatient-inpatient-follow-up full-process digital management, improve medical efficiency, enhance patient experience, increase hospital operational efficiency.

Dental Clinics

Patient return reminders, treatment tracking, membership management, improve patient repurchase rate by 42%+, maximize patient lifetime value.

Ophthalmology Hospitals

Post-surgery follow-up automation, AI anomaly alerts, specialty follow-up template customization, complication detection rate improved to 67%.

Medical Aesthetics

Enterprise WeChat-based private operations, patient layered marketing, referral programs, customer acquisition cost reduced by 45%, referrals reach 38%.

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Core Products

AI Native-powered medical needs full-cycle management system, connecting CRM, HIS and follow-up systems for seamless digital healthcare management

Helping hospitals achieve full-cycle management from patient needs discovery to service closure and continuous tracking, driving healthcare efficiency with AI.

5 Core Pain Points We Solve

Pain PointTraditional ModeAI Medical Solution
Low Follow-up RateManual follow-ups are time-consuming with low coverageAI intelligently assigns follow-up tasks, improving completion rate
Data SilosHIS/CRM/Follow-up systems operate independentlySeamless three-system integration with real-time data sync
Delayed InterventionService discontinuity after patient dischargeFull-cycle tracking with proactive health interventions
Low EfficiencyMedical staff manually enter duplicate informationAuto-sync clinical data, reducing 80% duplicate entry
Hard to Track ResultsLack of quantitative management toolsData dashboard with real-time key metrics visibility

Core Function Modules

Smart Follow-up Management

  • Auto-generate personalized follow-up plans
  • AI identifies high-risk patients, prioritizing nurse attention
  • Multi-channel outreach (SMS/WeChat/APP) with auto-reminders

HIS + CRM Dual-Channel Integration

  • Seamless integration with mainstream HIS systems
  • Unified patient profiles connecting outpatient-inpatient-follow-up data
  • Support for private deployment, meeting Level 3 security requirements

Medical Needs Prediction Engine

  • Predict patient return visit needs based on clinical data
  • Proactive health intervention recommendations
  • Abnormal indicator alerts to reduce readmission rates

Data Dashboard

  • Real-time KPIs: follow-up completion, return visit rate, patient satisfaction
  • Multi-dimensional comparison analysis by department/physician
  • Export support for performance assessment needs

Integration Capabilities

Integrated HIS
HIS VendorIntegration Method
NeusoftAPI Integration
Winning HealthAPI Integration
PKUTHISAPI Integration
BsoftAPI Integration
医疗需求全周期管理系统

Medical Needs Full-Cycle Management System

Patient lifecycle management platform centered on medical needs, connecting CRM, HIS and follow-up systems for pre-consultation, during-consultation, and post-consultation digital management

  • CRM Patient Profile Management
  • HIS System Integration
  • Smart Follow-up Reminders
  • Post-consultation Recovery Tracking
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ClawMed智能Agent平台

ClawMed Intelligent Agent Platform

Local inference model-based medical intelligent Agent platform integrated with Medical Needs Full-Cycle Management System

  • Local Inference Model
  • Enterprise WeChat
  • Data Integration
  • Medical Customer Service Agent
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Success Stories

Trusted by leading medical institutions, proving the value of AI healthcare

Huangshan Huaze Hospital

Class A Grade 2 General Hospital, Huangshan City, Anhui Province

2024

Challenges Before Implementation

  • Traditional manual follow-up was time-consuming with limited daily capacity per nurse
  • Data disconnection between HIS and CRM systems
  • Follow-up coverage less than 30%, relying on manual phone calls for return visit reminders

Solution

  • Deployed Medical Needs Full-Cycle Management System
  • Completed HIS integration for automatic clinical data sync
  • Launched AI Smart Follow-up module covering outpatient + inpatient scenarios

Key Results (Industry Benchmarks)

MetricIndustry BenchmarkDescription
Follow-up Completion RateImproved to 85%+Industry average improvement 30-50%
Nursing Time on Follow-upsReduced 60%+Auto-calling + template push replaces manual work
Return Visit RateImproved 18%+Smart reminders drive timely returns
Patient SatisfactionImproved 12%+Faster follow-up response improves experience
“After the system went live, our follow-up work changed from passive to proactive. AI helps us identify patients who need the most attention, nurses' efficiency has greatly improved, and patient experience is better.”

—— Huangshan Huaze Hospital, IT Department

Anhui Zhongke Gengjiu Hospital

Class A Grade 3 General Hospital, Hefei City, Anhui Province, Specialty: Oncology, Cardiovascular

2024

Challenges Before Implementation

  • Oncology patient follow-up cycles are long, traditional models can't track continuously
  • Department data scattered, unable to form unified patient view
  • Uneven distribution of follow-up tasks among medical staff

Solution

  • Deployed Medical Needs Full-Cycle Management System (Oncology Specialty Edition)
  • Established department-specific follow-up templates and intervention pathways
  • AI-assisted identification of high recurrence risk patients for priority intervention

Key Results (Industry Benchmarks)

MetricIndustry BenchmarkDescription
Key Patient Follow-up CoverageImproved to 90%+Specialty follow-up plans executed precisely
Intervention Response TimeFrom 48 hours to 4 hoursAI alerts + auto-assignment accelerates response
6-Month Patient RetentionImproved 22%+Continuous tracking enhances patient stickiness
Department Management EfficiencyImproved 35%+Smart task allocation balances workload
“Oncology patient follow-up management has always been challenging. After the system went live, we can finally precisely track each patient's treatment nodes, no longer missing any opportunity for intervention.”

—— Anhui Zhongke Gengjiu Hospital, Oncology Information Management Lead

Customer Testimonials

Real feedback from our partners

W

Wang XX

Director, IT Department, Huangshan Huaze Hospital

Efficiency Improvement

“Follow-up efficiency increased 3x, nurses finally have time for more valuable work.”

L

Li XX

Deputy Director, Nursing Department, Anhui Zhongke Gengjiu Hospital

Practical Results

“AI early warning function is very practical, helping us identify multiple high-risk patients in advance.”

Z

Zhang XX

Head Nurse, Outpatient Department, Huangshan Huaze Hospital

User Experience

“The system is simple to operate, nurses learned it quickly with almost no additional training needed.”

Ready to Learn More?

Book a product demo to learn how AI healthcare solutions can help your organization improve service quality