hospital_multiagent_system

Summary:

hospital_multiagent_system is a multi-agent framework for medical consultation systems, designed to simulate and assist doctors in conducting consultations. The framework has the following key features:

• Support for long-term and short-term memory reflection: Agents can reason and reflect based on short-term and long-term memory, improving the accuracy and efficiency of consultations.
• Anti-harassment mechanism: Integrated anti-harassment features ensure system security and user experience.
• Collaborative consultation: Supports collaborative consultation by agents based on long-term and short-term memory. By default, IDs are associated with customer phone numbers to provide personalized consultation services.
• Easy to extend: The framework is designed to be simple, making it convenient for future expansion and development, and can be customized according to actual needs.

Use cases:

hospital_multiagent_system can be applied to the following scenarios:

• Online consultation platforms: Used to build intelligent online consultation platforms that provide preliminary diagnosis and advice.
• Assisting doctors in diagnosis: Acts as an auxiliary tool for doctors, helping them quickly obtain patient information, analyze conditions, and develop treatment plans.
• Patient health management: Used to collect patients' health data, conduct risk assessments, and provide health guidance.
• Medical education and training: Used to simulate real consultation scenarios, providing practical and learning platforms for medical students and doctors.
• Patient triage: Conducts preliminary triage of patients and directs them to appropriate departments or doctors.