"From the Emergency Room to the VIP Ward: How Custom Bed Sheets Enhance Medical Quality"
1.Precise matching of solutions for departmental scenarios
Emergency Intensive Care Unit - Blue Stripes Cotton Blend
The application of visual psychology in covering bloodstains with dark stripes
Case: The complaint rate regarding changing clothes in the emergency department of a certain hospital has decreased by 67%.
Obstetrics ward - Pink satin striped cotton fabric
Intervention Study on Postpartum Depression Using the Morandi Color Scheme (Cited Data from The Lancet)
Newborn sensitive skin test report: pH value 5.5 - 6.0, within the weakly acidic range
High-end Special Needs Department - White Satin Striped Cotton
The luxury gene of satin weaving (analyzed in comparison with the linen used in five-star hotels)
The 3D quilting technique achieves an 8cm thickening effect for the mattress.

2. Complete Record of Durability Limit Test
Oxygen Bleaching Test: After being immersed in chlorine disinfectant for 200 hours, the tensile strength retention rate was 91%
Abrasion resistance test: The Martindale test reached 12,000 revolutions (according to the national standard, it was 4,000 revolutions)
Electrostatic control: Surface resistance < 10^9 Ω (in accordance with ISO 18080 standard)
3. Intelligent Management Empowerment
Chip implantation technology:
RFID Washing Tracking System Architecture Diagram
Practical case of reducing the loss rate by 30%
Color code management system:
The seven-color zoning plan to prevent cross-infection
Video of the intelligent sorting robot in operation

4. Detailed Explanation of the Entire Customization Process
Demand Analysis:
1.Style Selection:
Treatment area: Blue stripes + anti-fouling coating
2. Obstetrics: Powdered stripes + Antimicrobial treatment
Size customization: Hospital bed database with over 200 models
LOGO manufacturing process: Heat transfer printing / Embroidery / Jacquard weaving
5. Value Reconfiguration: From Cost to Investment
TCO Total Cost of Ownership calculation model:
Data on the correlation between patient satisfaction and hospital ratings