Elderly Care Collaboration SaaS: Scheduling Compliance and Family Coordination

📌 Background

As global aging accelerates in 2026, China's tens of thousands of elderly care institutions still rely heavily on manual processes for shift scheduling, capability assessment, and family communication, leading to high error rates and scalability challenges. The sector is characterized by rigid demand coupled with AI-driven data requirements: on the policy side, government coverage for home-based care during the 14th Five-Year Plan is expected to bring an 8-11% increase (based on policy planning); on the supply side, existing smart elderly care assessment SaaS already covers over 300 institutions (based on public data).

👤 Target Customers

Elderly care institutions (directors/nursing managers) and home care service companies as direct payers; government procurement for elderly care assessment also pays annual fees.

💰 Revenue Streams

1) Monthly institutional subscriptions (annual fees per institution) + commission-based fees for home care scheduling; 2) Value-added revenue from AI fall prediction packages and vital sign data platforms; 3) Training programs: nursing training charged per session or via course packages, including intensive coaching and value-added courses.

🧮 Cost Structure

R&D for iOS/Android nursing apps, web-based scheduling backends, and AI warning models. Team salaries (nursing operations experts, field training staff), and compliance costs for government procurement entry. Customer acquisition relies on government referrals and industry exhibitions.

🛡️ Moat

Integration into government elderly care information procurement directories, barriers created by cross-institutional standardized assessment models, and network effects of nursing staff (families have limited alternatives).

🔑 Keys to Success

• Introduce multi-party supervision platforms for integrated regulatory positioning
• Establish accreditation for elderly care professional training software

⚠️ Risks

• Rising churn rate among institutional clients
• Frequent adjustments to regional operational compliance interfaces

🏢 Cases

• Jinyangtong (Smart elderly care assessment SaaS, covering 300+ institutions)
• Wanda Information Home Care Platform (AI warning + full-process care management)

📊 SWOT Analysis