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