[The application of AI in medical consumable classifier]

Area of Science:

• Medical informatics
• Artificial intelligence in healthcare
• Database management systems

Background:

• Uniform classification and management of non-charge medical consumables are crucial for efficient hospital operations.
• Current methods for classifying medical consumables may lack objectivity and effectiveness.
• A standardized database is needed for consistent tracking and utilization of medical supplies.

Purpose of the Study:

• To establish a normal classifier for non-charge medical consumables.
• To create a database for in-use medical consumables.
• To enable uniform classification and management of medical materials across different hospitals.

Main Methods:

• Utilizing artificial intelligence (AI) for the classification of medical consumables.
• Developing a comprehensive database for tracking medical consumable usage.
• Implementing AI-driven classification to ensure objective and effective categorization.

Main Results:

• The AI-based approach provides an objective and effective method for classifying medical consumables.
• The developed database facilitates uniform management of non-charge medical materials.
• AI classification demonstrates superior accuracy compared to traditional methods.

Conclusions:

• AI-powered classification and database creation are essential for standardizing non-charge medical consumable management.
• This approach enhances accuracy and objectivity in categorizing medical supplies.
• Implementing this system can lead to improved efficiency and cost-effectiveness in hospital supply chain management.